Relevant bibliographies by topics / Adaptive antennas. Antenna arrays. Wireless communication systems

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Adaptive antennas. Antenna arrays. Wireless communication systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Adaptive antennas. Antenna arrays. Wireless communication systems"

1

Fedosov, Valentin, Andrey Legin, and Anna Lomakina. "Adaptive algorithm based on antenna arrays for radio communication systems." Serbian Journal of Electrical Engineering 14, no. 3 (2017): 301–12. http://dx.doi.org/10.2298/sjee1703301f.

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Trends in the modern world increasingly lead to the growing popularity of wireless technologies. This is possible due to the rapid development of mobile communications, the Internet gaining high popularity, using wireless networks at enterprises, offices, buildings, etc. It requires advanced network technologies with high throughput capacity to meet the needs of users. To date, a popular destination is the development of spatial signal processing techniques allowing to increase spatial bandwidth of communication channels. The most popular method is spatial coding MIMO to increase data transmission speed which is carried out due to several spatial streams emitted by several antennas. Another advantage of this technology is the bandwidth increase to be achieved without expanding the specified frequency range. Spatial coding methods are even more attractive due to a limited frequency resource. Currently, there is an increasing use of wireless communications (for example, WiFi and WiMAX) in information transmission networks. One of the main problems of evolving wireless systems is the need to increase bandwidth and improve the quality of service (reducing the error probability). Bandwidth can be increased by expanding the bandwidth or increasing the radiated power. Nevertheless, the application of these methods has some drawbacks, due to the requirements of biological protection and electromagnetic compatibility, the increase of power and the expansion of the frequency band is limited. This problem is especially relevant in mobile (cellular) communication systems and wireless networks operating in difficult signal propagation conditions. One of the most effective ways to solve this problem is to use adaptive antenna arrays with weakly correlated antenna elements. Communication systems using such antennas are called MIMO systems (Multiple Input Multiple Output multiple input - multiple outputs). At the moment, existing MIMO-idea implementations do not always noticeably accelerate traffic at short distances from the access point, but, they are very effective at long distances. The MIMO principle allows reducing the number of errors in radio data interchange (BER) without reducing the transmission rate under conditions of multiple signal re-reflections. The work aims at developing an adaptive space-time signal algorithm for a wireless data transmission system designed to improve the efficiency of this system, as well as to study the efficiency of the algorithm to minimizing the error bit probability and maximizing the channel capacity.
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Qasim, Aseel Abdul-Karim, Adheed Hassan Sallomi, and ِAli Khalid Jassim. "Rabid Euclidean direction search algorithm for various adaptive array geometries." Bulletin of Electrical Engineering and Informatics 10, no. 2 (2021): 856–69. http://dx.doi.org/10.11591/eei.v10i2.1899.

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One of the exciting technologies used to meet the increasing demand for wireless communication services is a smart antenna. A smart antenna is basically confirmed by an array of antennas and a digital beamformer unit through which cellular base station can direct the beam toward the desired user and set nulls toward interfering users. In this paper, different array configurations (linear, circular, and planer) with the REDS algorithm are implemented in the digital beam-forming unit. The wireless system performance is investigated to check the smart antenna potentials assuming Rayleigh fading channel environment beside the AWGN channel. Results show how the REDS algorithm offers a significant improvement through antenna radiation pattern optimization, sidelobe level, and interference reduction, and also the RDES algorithm proves fast convergence with minimum MSE and better sidelobe level reduction comparing with other algorithms.
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Hu, Cheng-Nan, Dau-Chyrh Chang, Chung-Hang Yu, Tsai-Wen Hsaio, and Der-Phone Lin. "Millimeter-Wave Microstrip Antenna Array Design and an Adaptive Algorithm for Future 5G Wireless Communication Systems." International Journal of Antennas and Propagation 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/7202143.

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This paper presents a high gain millimeter-wave (mmW) low-temperature cofired ceramic (LTCC) microstrip antenna array with a compact, simple, and low-profile structure. Incorporating minimum mean square error (MMSE) adaptive algorithms with the proposed 64-element microstrip antenna array, the numerical investigation reveals substantial improvements in interference reduction. A prototype is presented with a simple design for mass production. As an experiment, HFSS was used to simulate an antenna with a width of 1 mm and a length of 1.23 mm, resonating at 38 GHz. Two identical mmW LTCC microstrip antenna arrays were built for measurement, and the center element was excited. The results demonstrated a return loss better than 15 dB and a peak gain higher than 6.5 dBi at frequencies of interest, which verified the feasibility of the design concept.
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Liang, Qiankun, Bin Chen, Huaning Wu, Chaoyi Ma, and Senyou Li. "A Novel Modified Sparrow Search Algorithm with Application in Side Lobe Level Reduction of Linear Antenna Array." Wireless Communications and Mobile Computing 2021 (June 25, 2021): 1–25. http://dx.doi.org/10.1155/2021/9915420.

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Antenna arrays play an increasingly important role in modern wireless communication systems. However, how to effectively suppress and optimize the side lobe level (SLL) of antenna arrays is critical for communication performance and communication capabilities. To solve the antenna array optimization problem, a new intelligent optimization algorithm called sparrow search algorithm (SSA) and its modification are applied to the electromagnetics and antenna community for the first time in this paper. Firstly, aimed at the shortcomings of SSA, such as being easy to fall into local optimum and limited convergence speed, a novel modified algorithm combining a homogeneous chaotic system, adaptive inertia weight, and improved boundary constraint is proposed. Secondly, three types of benchmark test functions are calculated to verify the effectiveness of the modified algorithm. Then, the element positions and excitation amplitudes of three different design examples of the linear antenna array (LAA) are optimized. The numerical results indicate that, compared with the other six algorithms, the modified algorithm has more advantages in terms of convergence accuracy, convergence speed, and stability, whether it is calculating the benchmark test functions or reducing the maximum SLL of the LAA. Finally, the electromagnetic (EM) simulation results obtained by FEKO also show that it can achieve a satisfactory beam pattern performance in practical arrays.
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Martone, M. "Cumulant-based adaptive multichannel filtering for wireless communication systems with multipath RF propagation using antenna arrays." IEEE Transactions on Vehicular Technology 47, no. 2 (1998): 377–91. http://dx.doi.org/10.1109/25.669077.

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Chien, Wei, Tzong-Tyng Hsieh, Chien-Ching Chiu, Yu-Ting Cheng, Yang-Han Lee, and Qiang Chen. "Theoretical Derivation and Optimization Verification of BER for Indoor SWIPT Environments." Symmetry 12, no. 7 (2020): 1185. http://dx.doi.org/10.3390/sym12071185.

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Symmetrical antenna array is useful for omni bearing beamforming adjustment with multiple receivers. Beam-forming techniques using evolution algorithms have been studied for multi-user resource allocation in simultaneous wireless information and power transfer (SWIPT) systems. In a high-capacity broadband communication system there are many users with wearable devices. A transmitter provides simultaneous wireless information and power to a particular receiver, and the other receivers harvest energy from the radio frequency while being idle. In addition, the ray bounce tracking method is used to estimate the multi-path channel, and the Fourier method is used to perform the time domain conversion. A simple method for reducing the frequency selective effort of the multiple channels using the feed line length instead of the digital phase shifts is proposed. The feed line length and excitation current of the transmitting antennas are adjusted to maximize the energy harvest efficiency under the bit error rate (BER) constraint. We use the time-domain multipath signal to calculate the BER, which includes the inter symbol interference for the wideband system. In addition, we use multi-objective function for optimization. To the best of our knowledge, resource allocation algorithms for this problem have not been reported in the literature. The optimal radiation patterns are synthesized by the asynchronous particle swarm optimization (APSO) and self-adaptive dynamic differential evolution (SADDE) algorithms. Both APSO and SADDE can form good patterns for the receiver for energy harvesting. However, APSO has a faster convergence speed than SADDE.
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Rashid, Zhwan Mohammed, and Asaad M. Jassim Al-Hindawi. "Design of Adaptive Planar Microstrip Patch Array Operating at 28 GHz for 5G Smart Mobile System." Kurdistan Journal of Applied Research 4, no. 2 (2019): 158–72. http://dx.doi.org/10.24017/science.2019.2.16.

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Smart antenna system has been studied extensively for the fifth generation of wireless communication systems, because it has made a system better performance of higher capacity and coverage as well as of power-saving. The present paper introduces a design of planar microstrip patch antenna array for a smart mobile system operating at 28 GHz. The present smart antenna has an adaptive radiation pattern that adjusts its main beam automatically to the desired direction by following the signal environment. This is based on the processing of an algorithm called the Least Mean Square (LMS) resulting in a change in the magnitude and phase of the feeding current for each element in the antenna array. From the obtained results, the main beam can be steered 180 degrees in the phi (azimuth) plane at a constant theta (elevation) angle. The planar antenna array was designed and simulated using CST Microwave Studio and MATLAB software that is used to find the required exciting current for each element. It is found that the antenna bandwidth is greater than 1 GHz while its gain is about 21 dB.
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Fedosov, Valentin, Andrey Legin, and Anna Lomakina. "Adaptive algorithm for wireless data transmission (including images) based on SISO system and OFDM technique." Serbian Journal of Electrical Engineering 15, no. 3 (2018): 353–64. http://dx.doi.org/10.2298/sjee1803353f.

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The efficiency of wireless systems to transmit information in a complex interference situation is one of the main indicators of the effectiveness of the system, which can be characterized by the probability of an error in the transmitted message. This characteristic depends on the interference situation of the communication channel and the nature of the signals propagation in the medium. If the medium has a multi-path character, the signal interferes with the receiving antenna, causing signal fading. So the developer of wireless communication devices is faced with the task of increasing the noise immunity of the system. It can be increased in various ways, for example, by using adaptive processing algorithms for spatio-temporal signals. In this paper we solve the problem of improving noise immunity in wireless communication systems by applying an algorithm of adaptive spatial-temporal signal processing in the receiver based on an adaptive antenna array, which allows spatial filtering under conditions of a complex pattern of signal propagation in a channel with reflections. Calculation of weights for the adaptation algorithm in the article is based on the theory of eigenvalues and vectors of the spatial correlation matrix.
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Babich, Fulvio, Massimilliano Comisso, Aljosa Dorni, Flavio Barisi, Marco Driusso, and Allesandro Manià. "Discrete-time simulation of smart antenna systems in Network Simulator-2 Using MATLAB and Octave." SIMULATION 87, no. 11 (2010): 932–46. http://dx.doi.org/10.1177/0037549710387762.

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This paper presents two platforms that exploit the scalability properties of Network Simulator-2 for the discrete-event simulation of a telecommunication network, and the modeling capabilities of two development tools for the discrete-time implementation of adaptive antenna arrays at the physical layer. The two tools are the proprietary MATLAB and the open source Octave, both of which are used to implement the physical antenna system, the beamforming algorithm, the channel coding scheme, and the multipath and fading statistics. The adopted approach enables detailed modeling of the antenna radiation pattern generated by each network node, thus improving the accuracy of the signal-to-interference ratio estimated at the receiver. This study describes the methods that can be adopted to interface MATLAB and Octave with Network Simulator-2, and discusses the advantages and disadvantages that characterize the integration of the two tools with Network Simulator-2. The proposed numerical platforms, which can be interfaced with any wireless network supported by Network Simulator-2, are used to investigate the possibility of exploiting smart antenna systems in a wireless mesh network to enable the coexistence of multiple simultaneous communications.
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Fedosov, Valentin, and Andrey Legin. "Wireless data transmission in underwater hydroacoustic environment based on MIMO-OFDM system and application adaptive algorithm at the receiver side." Serbian Journal of Electrical Engineering 16, no. 1 (2019): 71–83. http://dx.doi.org/10.2298/sjee1901071f.

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To increase the transmission speed in wireless data transmission systems, it is necessary to change either the bandwidth or the spectral efficiency, or both simultaneously. Systems based on Multi-Input Multi-Output (MIMO) methods can significantly increase spectral efficiency through parallel transmission using several transmitters and receivers. Such systems are particularly attractive for use in underwater acoustic communications systems, which are normally bandwidth-reduced. MIMO system along with OFDM (Orthogonal Frequency-Division Multiplexing) is a popular technology used in wireless networks to provide a high data transfer rate and resistance to multipath and fading of the channel. The implementation of such a system requires being aware of the channel condition at the receiver, and can be provided by means of using channel parameter estimation schemes. The adaptation task on the receiving side, apart from peak of pattern formation in the direction of the signal expected, also includes the interference-source suppression, that is, the issue of implementing spatial filtering of interference from other directions. However, since the signal and noise direction of arrival are unknown, we get a system with adaptive antenna array (AA). In the proposed research, a phase antenna array was used with controlled weighing.
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Dissertations / Theses on the topic "Adaptive antennas. Antenna arrays. Wireless communication systems"

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Moon, Jang-Wook. "Jamming mitigation through collaboration." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0011395.

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Noordin, Nurul Hazlina. "Adaptive array antenna design for wireless communication systems." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/8950.

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Adaptive array antennas use has been limited to non-commercial applications due to their high cost and hardware complexity. The implementation cost of adaptive array antennas can be kept to a minimum by using cost effective antennas, reducing the number of elements in the array and implementing efficient beamforming techniques. This thesis presents techniques for the design of adaptive array antennas which will enable their cost effective implementation in wireless communication systems. The techniques are investigated from three perspectives, namely, reconfigurable antenna design, wide scan array design and single-port beamforming technique. A novel single-feed polarisation reconfigurable antenna design is proposed in the first stage of this study. Different polarisation states, namely, linear polarisation (LP), left-hand circular polarisation (LHCP) and right-hand circular polarisation (RHCP), are achieved by perturbing the shape of the main radiating structure of the antenna. The proposed antenna exhibits good axial ratio (< 3 dB at 2.4 GHz) and has high radiation efficiency in both polarisation modes (91.5 % - LHCP and 86.9 % - RHCP). With a compact single feeding structure, the antenna is suitable for implementation in wireless communication devices. The second stage of the study presents the design procedure of wide scan adaptive array antennas with reduced number of elements. Adaptive array antennas with limited number of elements have limited scanning range, reduced angular scanning resolution and high sidelobe levels. To date, design synthesis of adaptive array antennas has been targeted on arrays with a large number of elements. This thesis presents a comprehensive analysis of adaptive array antennas with less than 10 elements. Different array configurations are analysed and various array design parameters such as number of elements, separation between elements and orientation of the elements are analysed in terms of their 3 dB scan range. The proposed array, the 3-faceted array, achieves a scanning range up to ±70°, which is higher than ±56° obtained from the Uniform Linear Array. The faceted arrays are then evaluated in the context of adaptive beamforming properties. It was shown that the 3-faceted array is suitable for adaptive array applications in wireless communication systems as it achieves the highest directivity compared to other faceted structures. The 3-faceted array is then synthesised for low sidelobe level. Phase correction together with amplitude tapering technique is applied to the 3-faceted array. The use of conventional and tuneable windowing techniques on the 3- faceted array is also analysed. The final stage of the study investigates beamforming techniques for the adaptive array antenna. In the first part, beamforming algorithms using different performance criteria, which include maximum signal-to noise-ratio (SINR), minimum (mean-square Error) MSE and power minimisation, are evaluated. In the second part, single-port beamforming techniques are explored. In previous single-port beamforming methods, the spatial information of the signals is not fully recovered and this limits the use of conventional adaptive beamforming algorithms. In this thesis, a novel signal estimation technique using pseudo-inverse function for single-port beamforming is proposed. The proposed polarisation reconfigurable antenna, the 3-faceted array antenna and the single-port beamforming technique achieve the required performance, which suggests the potential of adaptive array antennas to be deployed commercially, especially in wireless communication industry.
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Kwala, Pimpin Carleton University Dissertation Engineering Electrical. "Adaptive multiple-beam antenna arrays for indoor wireless communications." Ottawa, 1992.

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Wennström, Mattias. "On MIMO Systems and Adaptive Arrays for Wireless Communication : Analysis and Practical Aspects." Doctoral thesis, Uppsala University, Signals and Systems Group, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-2604.

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<p>This thesis is concerned with the use of multiple antenna elements in wireless communication over frequency non-selective radio channels. Both measurement results and theoretical analysis are presented. New transmit strategies are derived and compared to existing transmit strategies, such as beamforming and space-time block coding (STBC). It is found that the best transmission algorithm is largely dependent on the channel characteristics, such as the number of transmit and receive antennas and the existence of a line of sight component. Rayleigh fading multiple input multiple output (MIMO) channels are studied using an eigenvalue analysis and exact expressions for the bit error rates and outage capacities for beamforming and STBC is found. In general are MIMO fading channels correlated and there exists a mutual coupling between antenna elements. These findings are supported by indoor MIMO measurements. It is found that the mutual coupling can, in some scenarios, increase the outage capacity. An adaptive antenna testbed is used to obtain measurement results for the single input multiple output (SIMO) channel. The results are analyzed and design guidelines are obtained for how a beamformer implemented in hardware shall be constructed. The effects of nonlinear transmit amplifiers in array antennas are also analyzed, and it is shown that an array reduces the effective intermodulation distortion (IMD) transmitted by the array antenna by a spatial filtering of the IMD. A novel frequency allocation algorithm is proposed that reduces IMD even further. The use of a low cost antenna with switchable directional properties, the switched parasitic antenna, is studied in a MIMO context and compared to array techniques. It is found that it has comparable performance, at a fraction of the cost for an array antenna.</p>
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Cui, Jian Carleton University Dissertation Engineering Systems and Computer. "The Application of blind adaptive antenna arrays to digital wireless communication systems." Ottawa, 1996.

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Kim, Sang-youb. "A fast estimation algorithm of array response vector for adaptive smart antenna systems /." Digital version accessible at:, 2000. http://wwwlib.umi.com/cr/utexas/main.

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Lau, Buon Kiong. "Applications of Adaptive Antennas in Third-Generation Mobile Communications Systems." Curtin University of Technology, Australian Telecommunications Research Institute, 2002. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=12983.

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Adaptive antenna systems (AAS's) are traditionally of interest only in radar and sonar applications. However, since the onset of the explosive growth in demand for wireless communications during the 1990's, researchers are giving increasing attention to the use of AAS technology to overcome practical challenges in providing the service. The main benefit of the technology lies in its ability to exploit the spatial domain, on top of the temporal and frequency domains, to improve on transceiver performance. This thesis presents a unified study on two classes of preprocessing techniques for uniform circular arrays (UCA's). UCA's are of interest because of their natural ability to provide a full azimuth (i.e. 360') coverage found in typical scenarios for sensor array applications, such as radar, sonar and wireless communications. The two classes of preprocessing techniques studied are the Davies transformation and the interpolated array transformations. These techniques yield a mathematically more convenient form - the Vandermonde form - for the array steering vector via a linear transformation. The Vandermonde form is useful for different applications such as direction-of-arrival (DOA) estimation and optimum or minimum variance distortionless response (MVDR) beamforming in correlated signal environment and beampattem synthesis. A novel interpolated array transformation is proposed to overcome limitations in the existing interpolated array transformations. A disadvantage of the two classes of preprocessing techniques for UCA's with omnidirectional elements is the lack of robustness in the transformed array steering vector to array imperfections under certain conditions. In order to mitigate the robustness problem, optimisation problems are formulated to modify the transformation matrices.<br>Suitable optimisation techniques are then applied to obtain more robust transformations. The improved transformations are shown to improve robustness but at the cost of larger transformation errors. The benefits of the robustification procedure are most apparent in DOA estimation. In addition to the algorithm level studies, the thesis also investigates the use of AAS technology with respect to two different third generation (3G) mobile communications systems: Enhanced Data rates for Global Evolution (EDGE) and Wideband Code Division Multiple Access (WCDMA). EDGE, or more generally GSM/EDGE Radio Access Network (GERAN), is the evolution of the widely successful GSM system to provide 3G mobile services in the existing radio spectrum. It builds on the TDMA technology of GSM and relies on improved coding and higher order modulation schemes to provide packet-based services at high data rates. WCDMA, on the other hand, is based on CDMA technology and is specially designed and streamlined for 3G mobile services. For WCDMA, a single-user approach to DOA estimation which utilises the user spreading code and the pulse-shaped chip waveform is proposed. It is shown that the proposed approach produces promising performance improvements. The studies with EDGE are concerned with the evaluation of a simple AAS at the system and link levels.<br>Results from, the system and link level simulations are presented to demonstrate the effectiveness of AAS technology in the new mobile communications system. Finally, it is noted that the WCDMA and EDGE link level simulations employ the newly developed COST259 directional channel model, which is capable of producing accurate channel realisations of macrocell environments for the evaluation of AAS's.
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Zhang, Hua. "Orthogonal Frequency Division Multiplexing for Wireless Communications." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/4960.

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OFDM is a promising technique for high-data-rate wireless communications because it can combat inter-symbol interference (ISI) caused by the dispersive fading of wireless channels. The proposed research focuses on techniques that improve the performance of OFDM-based wireless communications and its commercial and military applications. In particular, we address the following aspects of OFDM: inter-channel interference (ICI) suppression, interference suppression for clustered OFDM, clustered OFDM based anti-jamming modulation, channel estimation for MIMO-OFDM, MIMO transmission with limited feedback. For inter-channel interference suppression, a frequency domain partial response coding (PRC) scheme is proposed to mitigate ICI. We derive the near-optimal weights for PRC that is independent on the channel power spectrum. The error floor resulting from ICI can be reduced significantly using a two-tap or a three-tap PRC. Clustered OFDM is a new technique that has many advantages over traditional OFDM. In clustered OFDM systems, adaptive antenna arrays are used for interference suppression. To calculate weights for interference suppression, we propose a polynomial-based parameter estimator to combat the severe leakage of the DFT based estimator due to the small size of the cluster. An adaptive algorithm is developed to obtain optimal performance. For high data rate military communications, we propose a clustered OFDM base spread spectrum modulation to provide both anti-jamming and fading suppression capability. We analyze the performance of uncoded and coded system. Employing multiple transmit and receive antennas in OFDM systems (MIMO-OFDM) can increase the spectral efficiency and link reliability. We develop a minimum mean-square-error (MMSE) channel estimator that takes advantage of the spatial-frequency correlations in MIMO-OFDM systems to minimize the estimation error. We investigate the training sequence design and two optimal training sequence designs are given for arbitrary spatial correlations. For a MIMO system, the diversity and array gains can be obtained by exploiting channel information at the transmitter. For MIMO-OFDM systems, we propose a subspace tracking based approach that can exploit the frequency correlations of the OFDM system to reduce the feedback rate. The proposed approach does not need recalculate the precoding matrix and is robust to multiple data stream transmission.
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Wennström, Mattias. "On MIMO systems and adaptive arrays for wireless communications : analysis and practical aspects /." Uppsala : Signals and systems [Signaler och system], Univ. [distributör], 2002. http://publications.uu.se/theses/fulltext/91-506-1619-6.pdf.

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Dietrich, Carl B. "Adaptive Arrays and Diversity Antenna Configurations for Handheld Wireless Communication Terminals." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/27291.

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This dissertation reports results of an investigation into the performance of adaptive beamforming and diversity combining using antenna arrays that can be mounted on handheld radios. Handheld arrays show great promise for improving the coverage, capacity, and power efficiency of wireless communication systems. Diversity experiments using a handheld antenna array testbed (HAAT) are reported here. These experiments indicate that signals received by the antennas in two-element handheld antenna arrays with spacing of 0.15 wavelength or greater can be combined to provide 7-9 dB diversity gain against fading at the 99% reliability level in non line-of-sight multipath channels. Thus, peer-to-peer systems of handheld transceivers that use antenna arrays can achieve reliability comparable to systems of single-antenna handheld units, with only one-fifth the transmitter power, resulting in lower overall power consumption and increased battery life. Similar gains were observed for spatial, polarization, and pattern diversity. Adaptive beamforming with single- and multi-polarized four-element arrays of closely spaced elements was investigated by experiment using the HAAT, and by computer simulation using a polarization-sensitive vector multipath propagation simulator developed for this purpose. Small and handheld adaptive arrays were shown to provide 25 to 40 dB or more of interference rejection in the presence of a single interferer in rural, suburban, and urban channels including line-of-sight and non line-of-sight cases. In multipath channels, these performance levels were achieved even when there was no separation between the transmitters in azimuth angle as seen from the receiver, and no difference in the orientations of the two transmitting antennas. This interference rejection capability potentially allows two separate spatial channels to coexist in the same time/frequency channel, doubling system capacity.<br>Ph. D.
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Books on the topic "Adaptive antennas. Antenna arrays. Wireless communication systems"

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Adaptive Array Systems. John Wiley & Sons, Ltd., 2006.

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M, Ghavami, ed. Adaptive array systems: Fundamentals and applications. John Wiley & Sons, 2005.

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Smart antenna systems and wireless lans. Kluwer Academic Publishers, 1999.

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Okamoto, Garret T. Smart Antenna Systems and Wireless LANs. Kluwer Academic Publishers, 2002.

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Project, WiSE, ed. Antennas for ubiquitous radio services in a wireless information society: Proceedings of the symposium concluding the Wide Band Sparse Element Array Antennas-WiSE project, March 4, 2010, Wassenaar, the Netherlands. IOS Press, 2010.

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Kontorovich, V. I︠A︡. (Valeriĭ I︠A︡kovlevich), ed. Wireless multi-antenna channels: Modeling and simulation. Wiley, 2011.

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Chandran, Sathish. Adaptive Antenna Arrays: Trends And Applications. Springer, 2011.

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Kasapi, Athos. Smart Antennas and Adaptive Arrays: Multi-Antenna Techniques for Wireless Communications. Newnes, 2008.

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Chandran, Sathish. Adaptive Antenna Arrays: Trends and Applications (Signals and Communication Technology). Springer, 2004.

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Adaptive Array Measurements in Communications (Artech House Antennas and Propagation Library). Artech House Publishers, 2001.

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Book chapters on the topic "Adaptive antennas. Antenna arrays. Wireless communication systems"

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Ertel, Richard B., and Stephan V. Schell. "Comparative Study of Adaptive Antenna Arrays in CDMA Communication Systems." In Wireless Personal Communications. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6237-5_10.

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Okamoto, Garret. "Implementation of Smart Antennas for Wireless LAN Systems." In Adaptive Antenna Arrays. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05592-2_28.

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Bucci, G., A. Colamonico, M. Donati, M. Politi, and A. Picciriello. "Experimental GSM Test Bed for Adaptive Array Antenna System." In Multiaccess, Mobility and Teletraffic in Wireless Communications: Volume 4. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4757-5920-4_3.

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Donelli, Massimo. "Applications of Advanced Reconfigurable Antenna for the Next Generation 4G Communication Devices." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8732-5.ch003.

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The objective of this chapter is to show the applications of innovative reconfigurable antenna methodologies for the 4G devices. Microwave antenna technology can be very useful for the 4G devices, because these products will require high bandwidth and high velocity channel with respect to conventional antennas. This chapter presents a complete picture of possible applications of advanced microwave technologies for 4G devices and systems, it includes methodologies, such as phased and fully adaptive arrays, innovative multiple-Input and multiple-output (MIMO) antennas based on compact rotmans lenses or butler matrix, and the development of innovate reconfigurable antenna based on reconfigurable parasitic structures. The chapter ends with some conclusions and considerations related to ideas for future works.
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Shubair, R. M., K. O. AlMidfa, A. Al-Marri, and M. Al-Nuaimi. "Robust Algorithms for DOA Estimation and Adaptive Beamforming in Wireless Mobile Communications." In Mobile Computing. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-054-7.ch048.

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This paper presents a tool for the modelling, analysis and simulation of direction-of-arrival (DOA) estimation and adaptive beamforming needed in the design of smart antenna arrays for wireless mobile communications. The developed tool implements the Minimum Variance Distortionless Response (MVDR) algorithm for DOA estimation and the Least Mean Squares (LMS) algorithm for adaptive beamforming. Performance of each algorithm is investigated with respect to the variation of a number of parameters that related to the signal environment and sensor array. Results of numerical simulation are useful for the design of smart antennas systems with optimal performance. Hence, the developed simulation tool can be used to improve and accelerate the design of wireless networks. It can also be used for computeraided learning of modern communication systems utilizing smart antenna arrays.
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Goudos, Sotirios K. "Optimization of Antenna Arrays and Microwave Filters Using Differential Evolution Algorithms." In Advances in Computer and Electrical Engineering. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7598-6.ch094.

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The purpose of this chapter is to briefly describe the DE algorithm and its variants and present their application to antenna and microwave design problems. This chapter presents results from design cases using self-adaptive DE. The chapter discusses the issues, problems, and trends with DE for wireless communications. A brief description of different DE algorithms is also given. The numerical results for different design cases are reported. Moreover, an outline of future research directions is provided. Finally, the chapter concludes and the advantages of using a self-adaptive DE-based approach in the design and optimization of microwave systems and antennas is discussed.
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K R, Kaviya, and Deepa S. "An Inclusive Survey on Various Adaptive Beam Forming Algorithm for 5G Communications Systems." In Intelligent Systems and Computer Technology. IOS Press, 2020. http://dx.doi.org/10.3233/apc200182.

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There are several existing wireless system in 5G technology, originating interference in same frequency band and degenerate the concert of received signal. Antenna System comprise of different Beam forming methods in which direction of required signal is generated by the beam and nulls and the voids are set in the direction of unwanted signal (Interference). The survey of different blind and non-blind beam forming algorithms are discussed using smart antenna and phased array. It involves Least Mean Square (LMS), Normalized Least Mean Square (NLMS), Recursive Least Square (RLS), Sample Matrix Inversion(SMI), Linear Constrained Minimum Variance (LCMV), Constant Modulus (CMA), Decision feedback equalization based LMS (DFE-LMS) are considered. These algorithms are outlined to be claimed in 5G network to provide good quality, capacity and dealing with coincidence of signals and interference.
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Kumar Minchula, Vinodh, and Gottapu Sasibhushana Rao. "Performance Analysis of Multiple Antenna Systems with New Capacity Improvement Algorithm for MIMO Based 4G/5G Systems." In Antenna Systems [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98883.

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For a time varying channel, the channel capacity is determined by the Channel State Information (CSI) or its fading distribution at a transmitter or receiver. If CSI is perfectly known at both the transmitter and receiver, then the transmitter can adapt to its optimal transmission strategy (i.e., optimal antenna selection by power allocation scheme) relative to its instantaneous channel state for capacity enhancement. In the case where the channel information is not available at the transmitter (No CSIT), the transmitted power has to be distributed equally (i.e., uniform power allocation) between the transmitting antennas to improve the channel capacity. The IWFA (Iterative water filling allocation) strategy therefore allocates power to those spatial channels with positive non-zero singular values i.e. good quality channels and discards the lower eigenmodes channels resulting in maximum capacity in MIMO systems for perfect CSIT. In this chapter, the performance analysis of Multi Antenna systems under ICSIT/ICSIR, Perfect CSIT, No CSIT channel conditions have been implemented and a novel adaptive power allocation algorithm (SVD-based IWFAA) is considered to improve the spectral efficiency of next generation wireless MIMO communication (4G–5G). The algorithm considered is more efficient at high noise levels (low SNRs) under Perfect CSIT conditions because the strongest channel eigenmodes are allocated more power.
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Brandao, Andre L. "A New Business Dimension." In Managing Telecommunications and Networking Technologies in the 21st Century. IGI Global, 2001. http://dx.doi.org/10.4018/978-1-878289-96-4.ch005.

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Space division multiple access (SDMA) is a promising technique useful for increasing capacity, reducing interference and improving overall wireless communication link quality. With a large-scale penetration expected for wireless Internet, the radio link will require significant reduction in cost and increase in capacity, benefits that the proper exploitation of the spatial dimension can offer. Market opportunities with SDMA are significant, as a number of companies have been recently formed to bring products based on this new concept to the wireless marketplace. The approach to SDMA is broad, ranging from "switched-beam techniques" to "adaptive antennas." Basically the technique employs antenna arrays and digital signal processing to achieve the necessary increases incapacity and quality needed in the wireless world.
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Conference papers on the topic "Adaptive antennas. Antenna arrays. Wireless communication systems"

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Sarkar, Tapan K. "Adaptive methodologies for futuristic phased array systems." In 2015 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC). IEEE, 2015. http://dx.doi.org/10.1109/apwc.2015.7300140.

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He, Yu-dong, Jie Zhou, and Bang-hua Zhou. "Adaptive Sum and Difference Beamforming for Monopulse System with Array Antennas." In 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2010. http://dx.doi.org/10.1109/wicom.2010.5600714.

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Khoa, Nguyen T., Takeo Fujii, Yukihiro Kamiya, and Yasuo Suzuki. "Frequency Sharing Hotspot Communication using OFDM Adaptive Array Antenna under Uplink Multi-Carrier CDMA Cellular System." In 2006 3rd International Symposium on Wireless Communication Systems. IEEE, 2006. http://dx.doi.org/10.1109/iswcs.2006.4362322.

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Liu, Shenghai, Suili Feng, and Wu Ye. "A Combined Switched Beam-Forming and Adaptive Beam-Forming Algorithm for OFDM Systems with Antenna Array." In 2007 International Conference on Wireless Communications, Networking and Mobile Computing. IEEE, 2007. http://dx.doi.org/10.1109/wicom.2007.29.

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