Literatura académica sobre el tema "Carrier-Frequency-Offset (CFO) Estimation"
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Artículos de revistas sobre el tema "Carrier-Frequency-Offset (CFO) Estimation"
1
Sari, Yolen Perdana y Shelvi Eka Tassia. "Estimasi Carrier Ferquency Offset menggunakan Timing Metric pada Sinyal OFDM". Jurnal Informatika Universitas Pamulang 5, n.º 4 (31 de diciembre de 2021): 466. http://dx.doi.org/10.32493/informatika.v5i4.6725.
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OFDM is one of technology that can be utilized in a variety of telecommunication systems that being widely developed today, for application in LAN, WLAN, 3G, 4G, or 5G. One of the problem faced by the OFDM technology that its sensitivity to Carrier Frequency Offset (CFO) and the lack of synchronization in the OFDM signal. This research aims to design the synchronization that estimates Carrier Frequency Offset (CFO) to obtain synchronization of OFDM signal, where the error of the estimated Carrier Frequency Offset can be obtained, minimized and better than previous studies. The CFO estimation method in this research is using the training symbol on the OFDM symbol and utilize the statistical characteristics of the timing metric. This researchs result shows the Mean Square Error (MSE) of estimated Carrier Frequency Offset to Carrier Frequency Offset input, with range MSE 9.43 x 10-3 at 0 dB SNR input and MSE 1.687 x 10-5 at 30 dB SNR input. If Signal to Noise Ratio is greater, then the value of the mean square error (MSE) will be smaller. The position of the timing metric for timing estimation also affects to CFO estimation. CFO estimation accuracy will be maximized when using maximum timing metric.
2
Yang, Gang, Hua Xin Yu y Xiao Fei Zhang. "Compressed Sensing Based Blind Carrier Frequency Offset Estimation for OFDM System". Advanced Materials Research 756-759 (septiembre de 2013): 1894–97. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1894.
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In this paper, we address the problem of carrier frequency offset (CFO) estimation for Orthogonal Frequency Division Multiplexing (OFDM) systems. This paper links CFO estimation problem in OFDM systems to the compressed sensing model. Exploiting this link, it derives a compressed sensing-based CFO estimation algorithm. The proposed algorithm has better CFO estimation performance than ESPRIT method with lower signal-to-noise ratio (SNR). Simulation results illustrate performance of this algorithm.
3
Yu, Chang Ha, Young Po Lee, Sun Yong Kim, Gyu In Jee y Seok Ho Yoon. "Estimation of OFDM Carrier Frequency Offset Robust to Offset Variation". Applied Mechanics and Materials 284-287 (enero de 2013): 2642–46. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2642.
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In this paper, we propose a novel carrier frequency offset (CFO) estimation scheme for orthogonal frequency division multiplexing (OFDM) systems. The proposed scheme has much wider estimation range compared with that of the conventional scheme, making it more robust to the fractional FO variation. Numerical results demonstrate that the proposed scheme has better estimation performance than the conventional scheme for wider fractional FO range.
4
Su, Ing Jiunn y Chiao Chan Huang. "Robust MVDR Estimation via Polynomial Rooting for MC-CDMA Carrier Frequency Offset". Applied Mechanics and Materials 284-287 (enero de 2013): 2687–93. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2687.
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In this letter, we present a blind carrier frequency offset (CFO) estimator by exploiting the polynomial rooting technique for multicarrier-code division multiple access (MC-CDMA) systems. Relative high accuracy and low-complexity to the CFO estimation can be achieved by rooting a polynomial. Simulation results are provided for illustrating the effectiveness of the proposed blind polynomial rooting estimator.
5
Wang, Yung-Yi, Bo-Rui Chen y Chih-Hsiang Hsu. "Efficient Maximum Likelihood Algorithm for Estimating Carrier Frequency Offset of Generalized Frequency Division Multiplexing Systems". Mathematics 11, n.º 15 (7 de agosto de 2023): 3426. http://dx.doi.org/10.3390/math11153426.
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This study presents a computationally efficient maximum likelihood (ML) algorithm for estimating the carrier frequency offset (CFO) of generalized frequency division multiplexing systems. The proposed algorithm uses repetitive subsymbols and virtual carriers to estimate the fractional and integer CFOs, respectively. Through the use of repetitive subsymbols, this study first calculates the ML estimate of the fractional CFO in the time domain and then, accordingly, compensates for it from the received signal. The integer CFO can then be estimated through a virtual-carrier-mapping process in the frequency domain. In addition to improving performance in terms of estimation accuracy and computational complexity, the proposed non-data-aided algorithm is spectrally efficient relative to traditional algorithms.
6
Cheng, Wang, Cao Yushi y Wang Weidong. "Data-Aided Frequency Offset Estimation for CE-OFDM Broadband Satellite Systems". Applied Sciences 9, n.º 11 (5 de junio de 2019): 2310. http://dx.doi.org/10.3390/app9112310.
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In recent years, the constant-envelope orthogonal frequency-division multiplexing (CE-OFDM) has been considered as a candidate waveform in broadband satellite systems as it has a 0-dB peak-to-average power ratio (PAPR). However, the carrier frequency offset (CFO) estimation scheme for CE-OFDM broadband satellite systems directly affects system performance. In this paper, we analyze the network architecture and the propagation environment of CE-OFDM broadband satellite systems, and we propose a data-aided CFO estimation strategy based on the frequency domain pilot symbols. The Cramer–Rao bound (CRB) of our CFO estimator is given by mathematical analysis, and the effect of the number of pilot symbols on the estimation performance is analyzed. The pilot symbol-based CFO estimator is composed of a phase demodulator and a discrete Fourier transform (DFT) module, and it can obtain a large estimation range under a small pilot overhead. The simulation results show that the CE-OFDM broadband satellite systems can achieve a good bit error rate (BER) performance by using the proposed strategy to estimate and compensate the CFO.
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Peng, Gang, Rui Li, Yushu He y Zhiren Han. "Timing and Frequency Synchronization Using CAZAC Sequences for OFDM Systems". Sensors 23, n.º 6 (16 de marzo de 2023): 3168. http://dx.doi.org/10.3390/s23063168.
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Since orthogonal frequency division multiplexing (OFDM) systems are very susceptible to symbol timing offset (STO) and carrier frequency offset (CFO), which cause inter-symbol interference (ISI) and inter-carrier interference (ICI), accurate STO and CFO estimations are very important. In this study, first, a new preamble structure based on the Zadoff–Chu (ZC) sequences was designed. On this basis, we proposed a new timing synchronization algorithm, called the continuous correlation peak detection (CCPD) algorithm, and its improved algorithm: the accumulated correlation peak detection (ACPD) algorithm. Next, the correlation peaks that were obtained during the timing synchronization were used for the frequency offset estimation. For this, the quadratic interpolation algorithm was adopted as the frequency offset estimation algorithm, which was better than the fast Fourier transform (FFT) algorithm. The simulation results showed that when the correct timing probability reached 100%, under the parameters of m = 8 and N = 512, the performance of the CCPD algorithm was 4 dB higher than that of Du’s algorithm, and that of the ACPD algorithm was 7 dB. Under the same parameters, the quadratic interpolation algorithm also had a great performance improvement in both small and large frequency offsets, when compared with the FFT algorithm.
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Wang, Haijun, Weihua Jiang, Qing Hu, Jianjun Zhang y Yanqing Jia. "Differential Evolution Algorithm-Aided Time-Varying Carrier Frequency Offset Estimation for OFDM Underwater Acoustic Communication". Journal of Marine Science and Engineering 10, n.º 12 (28 de noviembre de 2022): 1826. http://dx.doi.org/10.3390/jmse10121826.
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Orthogonal frequency division multiplexing (OFDM) is the preferred scheme for high-speed communication in the field of underwater acoustic communication. However, it is very sensitive to the carrier frequency offset (CFO). This study used a time-varying CFO estimation method aided by the differential evolution (DE) algorithm to accurately estimate the CFO of an OFDM system. This method was based on the principle that the received OFDM signal with inter-carrier interference could be considered by a Multi Carrier-code division multiple access (MC-CDMA) system on the receiver side because MC-CDMA is a technology that combines OFDM and code division multiple access (CMDA). Because it is suitable for solving problems where there are dependencies between adjacent variables, the DE algorithm was used to capture the varying CFO values on the adjacent blocks. The spreading code of the MC-CDMA was obtained based on the estimated CFO values, which were elements in the DE solutions. Then the received signal was reconstructed. The Root-Mean-Square Error between the reconstructed and actual received signals was used as the cost function, and the CFO was estimated using the DE algorithm because of its powerful parallel search capability. The simulation results showed that the proposed method had a high estimation accuracy. Compared with other intelligent optimization algorithms such as the genetic algorithm and simulated annealing mutated-genetic algorithm, the time-varying CFO estimation performance of the DE algorithm was better because of its unique ability to solve problems with dependencies between adjacent variables. Specifically, under the condition of a high signal-to-noise ratio, the improvement of estimation accuracy reaches 36.13%, and the Bit Error Rate of demodulation is thus reduced by 75%, compared with the reference algorithms. In addition, the proposed method also has good applicability to modulation methods. For phase-shift keying and quadrature amplitude modulation, in particular, the proposed method not only achieved high-precision time-varying CFO estimation values, but also reduced the demodulation deterioration caused by noise.
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Sastry, K. Seshadri, K. Baburao, A. V. Prabu y G. Naveen Kumar. "Comparison of SPS and FA methods for Blind Carrier Frequency Offset Estimation in OFDM systems". International Journal of Mathematical Models and Methods in Applied Sciences 16 (10 de enero de 2022): 7–11. http://dx.doi.org/10.46300/9101.2022.16.2.
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In orthogonal frequency-division multiplexing (OFDM) systems, synchronization issues are of great importance since synchronization errors might destroy the orthogonality among all subcarriers and, therefore, introduce intercarrier interference (ICI) and intersymbol interference (ISI). Several schemes of frequency offset estimation in OFDM systems have been investigated. This paper compares performance and computational complexity of Smoothing Power Spectrum (SPS) and Frequency Analysis (FA) methods for blind carrier frequency offset (CFO) estimation in OFDM systems.
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Masmoudi, Ramadhan. "New Iterative Method for Estimation of Carrier Frequency in Multicarrier Systems". Algerian Journal of Renewable Energy and Sustainable Development 01, n.º 01 (15 de junio de 2019): 24–30. http://dx.doi.org/10.46657/ajresd.2019.1.1.3.
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The key problem for OFDM (Orthogonal Frequency Division Multiple) systems is who to Estimate carrier frequency offset (CFO) with reduced complexity and acceptable performance. The CFO must be compensated before DFT (Discrete Fourier Transform) in order to restore data correctly and enhance the system performance. This paper, present a low complexity estimator of CFO with Semi-Blind (SB) criterion based on pilot tones and on virtual subcarriers, and with the aid of subspace based method. However, MUSIC and ESPRIT based semi-blind algorithms require a highly computational complexity. To overcome this drawback, we use Taylor’s series for the first order as developed in [1]. The present methods developed in this paper are very suitable for Multi- Carrier (MC) systems when the CFO are present. Simulation results demonstrated that the semi-blind (SB) approach outperforms the blind-based approach.
Tesis sobre el tema "Carrier-Frequency-Offset (CFO) Estimation"
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Challakere, Nagaravind. "Carrier Frequency Offset Estimation for Orthogonal Frequency Division Multiplexing". DigitalCommons@USU, 2012. https://digitalcommons.usu.edu/etd/1423.
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This thesis presents a novel method to solve the problem of estimating the carrier frequency set in an Orthogonal Frequency Division Multiplexing (OFDM) system. The approach is based on the minimization of the probability of symbol error. Hence, this approach is called the Minimum Symbol Error Rate (MSER) approach. An existing approach based on Maximum Likelihood (ML) is chosen to benchmark the performance of the MSER-based algorithm. The MSER approach is computationally intensive. The thesis evaluates the approximations that can be made to the MSER-based objective function to make the computation tractable. A modified gradient function based on the MSER objective is developed which provides better performance characteristics than the ML-based estimator. The estimates produced by the MSER approach exhibit lower Mean Squared Error compared to the ML benchmark. The performance of MSER-based estimator is simulated with Quaternary Phase Shift Keying (QPSK) symbols, but the algorithm presented is applicable to all complex symbol constellations.
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Etiler, Burkay. "Comparison Of The Intercarrier Interference Cancellation Methods In Ofdm Systems". Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/2/12608825/index.pdf.
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In OFDM systems carrier frequency offset is observed due to Doppler shift
and transmitter-receiver frequency mismatches. This offset induces ICI (Intercarrier
Interference). In this thesis, repeated data methods and pilot-aided carrier frequency
offset(CFO) estimation methods and windowing techniques are used to mitigate the
frequency offset problem and a performance comparison is made between these ICI
cancellation techniques.
Repeated data methods use only half of the bandwidth for information
transmission to eliminate the ICI at the receiver. We have implemented repeated
data methods including Self cancellation scheme and Symmetric Symbol Repetition
(SSR) schemes to overcome ICI problem. We have also implemented Adjacent
Conjugate Symbol Repetiton (ACSR) and Symmetric Conjugate Symbol Repetiton
(SCSR) methods to mitigate both phase rotations and ICI.
CFO estimation and correction methods generally use pilot sequences. We
implemented the &ldquoConventional Pilots&rdquo
and &ldquo
Clustered Pilots&rdquo
pilot-aided CFO estimation techniques for ICI cancellation. Furthermore, we also implemented a new scheme by using the odd symmetry between pilot symbols. Nyquist windowing techniques apply windowing at the receiver side. We have implemented second order polynomial class of Nyquist windows and Nyquist window with Franks pulse used to mitigate ICI. These ICI cancellation methods are compared in AWGN and multipath Rayleigh fading channel models in terms of BER and carrier to interference ratio. It is shown that repeated data methods shows better performances than pilot-aided CFO estimation methods with a cost of increased bandwidth usage especially in high SNR&rsquo
s.
3
Saemi, Amir. "Synchronisation des systèmes de transmission MIMO-OFDM". Limoges, 2007. https://aurore.unilim.fr/theses/nxfile/default/4c51dd38-0e16-4b94-804f-b92b9fcd31c6/blobholder:0/2007LIMO4029.pdf.
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Theoretical studies of communication links employing multiple transmit and receive antennas, also known as multiple-input multiple-output (MIMO), have shown great potential for providing highly spectrally efficient wireless transmissions. The early investigations focused almost entirely on flat fading channels. To consider frequency selective channel one efficient method in high rate wireless systems is Orthogonal Frequency-Division Multiplexing (OFDM). MIMO-OFDM combines OFDM and MIMO techniques thereby achieving spectral efficiency and increased throughput. However, because of using Discrete Fourier Transform (DFT), an OFDM system is very sensitive to carrier frequency offset (CFO), which introduces inter-carrier interference. Accurate frequency synchronization is thus essential for reliable reception of the transmitted data. On the other hand, incorrect positioning of the DFT window within an OFDM word reintroduces ISI during data demodulation, causing serious performance degradation. This dissertation deals with MIMO-OFDM synchronization. To this aim, several synchronization algorithms are studied in this manuscript and a new Maximum-Likelihood (ML) joint time-frequency MIMO-OFDM synchronization algorithm together with channel estimation is presented. Moreover, an iterative Expectation-Maximization (EM) time-frequency synchronization algorithm is introduced and at the end the problem of synchronization in MIMO-OFDMA systems is consideredLa technique multi-antenne dans les systèmes de communication numérique (MIMO) sans fil augmente considérablement la capacité du canal de propagation. Les premières études se sont concentrées sur les canaux non-sélectifs en fréquence. Afin de combattre l'effet multi trajet des canaux radio-mobile, la modulation OFDM a été proposée depuis quelques années. La combinaison d'OFDM avec MIMO ouvre la porte vers des communications hauts débits. Cependant, un système OFDM est très sensible à une erreur de fréquence porteuse qui détruit l'orthogonalité entre les porteuses. Cet effet va dégrader radicalement la performance du système. Les recherches rapportées dans ce mémoire aborde le problème de la synchronisation fréquentielle et temporelle ainsi que l'estimation du canal MIMO des systèmes MIMO-OFDM. Après avoir dressé l'état de l'art de la problématique correspondante, de nouveaux algorithmes basés sur l’algorithme de maximisation de vraisemblance et l'algorithme d'espérance et maximisation (EM), ont été proposés, puis simulés. Les résultats obtenus ont été comparés avec ceux de la littérature en terme de performance et de complexité. A la fin de ce mémoire le problème de la synchronisation dans les systèmes MIMO-OFDMA est étudié et un algorithme original est proposé
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Dutta, Amit Kumar. "Transceiver Design Based on the Minimum-Error-Probability Framework for Wireless Communication Systems". Thesis, 2015. http://etd.iisc.ac.in/handle/2005/3732.
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Parameter estimation and signal detection are the two key components of a wireless communication system. They directly impact the bit-error-ratio (BER) performance of the system. Several criteria have been successfully applied for parameter estimation and signal detection. They include maximum likelihood (ML), maximum a-posteriori probability (MAP), least square (LS) and minimum mean square error (MMSE) etc. In the linear detection framework, linear MMSE (LMMSE) and LS are the most popular ones. Nevertheless, these criteria do not necessarily minimize the BER, which is one of the key aspect of any communication receiver design. Thus, minimization of BER is tantamount to an important design criterion for a wireless receiver, the minimum bit/symbol error ratio (MBER/MSER). We term this design criterion as the minimum-error-probability (MEP). In this thesis, parameter estimation and signal detection have been extensively studied based on the MEP framework for various unexplored scenar-ios of a wireless communication system. Thus, this thesis has two broad categories of explorations, first parameter estimation and then signal detection. Traditionally, the MEP criterion has been well studied in the context of the discrete signal detection in the last one decade, albeit we explore this framework for the continuous parameter es-timation. We first use this framework for channel estimation in a frequency flat fading single-input single-output (SISO) system and then extend this framework to the carrier frequency offset (CFO) estimation of multi-user MIMO OFDM system. We observe a reasonably good SNR improvement to the tune of 1 to 2.5 dB at a fixed BER (tentatively at 10−3). In this context, it is extended to the scenario of multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) or MIMO-OFDM with pa-rameter estimation error statistics obtained from LMMSE only and checked its effect at the equalizer design using MEP and LMMSE criteria. In the second exploration of the MEP criterion, it is explored for signal detection in the context of MIMO-relay and MIMO systems. Various low complexity solutions are proposed to alleviate the effect of high computational complexity for the MIMO-relay. We also consider various configurations of relay like cognitive, parallel and multi-hop relaying. We also propose a data trans-mission scheme with a rate of 1/Ns (Ns is the number of antennas at the transmitter) with the help of the MEP criterion to design various components. In all these cases, we obtain considerable BER improvement compared to the existing solutions.
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Dutta, Amit Kumar. "Transceiver Design Based on the Minimum-Error-Probability Framework for Wireless Communication Systems". Thesis, 2015. http://etd.iisc.ernet.in/2005/3732.
Texto completoResumen
Parameter estimation and signal detection are the two key components of a wireless communication system. They directly impact the bit-error-ratio (BER) performance of the system. Several criteria have been successfully applied for parameter estimation and signal detection. They include maximum likelihood (ML), maximum a-posteriori probability (MAP), least square (LS) and minimum mean square error (MMSE) etc. In the linear detection framework, linear MMSE (LMMSE) and LS are the most popular ones. Nevertheless, these criteria do not necessarily minimize the BER, which is one of the key aspect of any communication receiver design. Thus, minimization of BER is tantamount to an important design criterion for a wireless receiver, the minimum bit/symbol error ratio (MBER/MSER). We term this design criterion as the minimum-error-probability (MEP). In this thesis, parameter estimation and signal detection have been extensively studied based on the MEP framework for various unexplored scenar-ios of a wireless communication system. Thus, this thesis has two broad categories of explorations, first parameter estimation and then signal detection. Traditionally, the MEP criterion has been well studied in the context of the discrete signal detection in the last one decade, albeit we explore this framework for the continuous parameter es-timation. We first use this framework for channel estimation in a frequency flat fading single-input single-output (SISO) system and then extend this framework to the carrier frequency offset (CFO) estimation of multi-user MIMO OFDM system. We observe a reasonably good SNR improvement to the tune of 1 to 2.5 dB at a fixed BER (tentatively at 10−3). In this context, it is extended to the scenario of multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) or MIMO-OFDM with pa-rameter estimation error statistics obtained from LMMSE only and checked its effect at the equalizer design using MEP and LMMSE criteria. In the second exploration of the MEP criterion, it is explored for signal detection in the context of MIMO-relay and MIMO systems. Various low complexity solutions are proposed to alleviate the effect of high computational complexity for the MIMO-relay. We also consider various configurations of relay like cognitive, parallel and multi-hop relaying. We also propose a data trans-mission scheme with a rate of 1/Ns (Ns is the number of antennas at the transmitter) with the help of the MEP criterion to design various components. In all these cases, we obtain considerable BER improvement compared to the existing solutions.
Capítulos de libros sobre el tema "Carrier-Frequency-Offset (CFO) Estimation"
1
Bayón, Javier González, Carlos Carreras Vaquer y Angel Fernández Herrero. "Frequency Synchronization for OFDM/OFDMA Systems". En Advances in Wireless Technologies and Telecommunication, 216–36. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0083-6.ch009.
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Orthogonal frequency division multiplexing (OFDM) has been the focus of many studies in wireless communications because of its high transmission capability and its robustness to the effects of frequency-selective multipath channels. However, it is well known that OFDM systems are much more sensitive to a carrier frequency offset (CFO) than single carrier schemes with the same bit rate. Therefore, a frequency synchronization process is necessary to overcome this sensitivity to frequency offset. Synchronization is performed in two stages: acquisition and tracking. After a first estimation and correction of the CFO performed in the acquisition stage, there still remains a residual frequency offset (RFO) due to real system conditions. Therefore, the RFO tracking has to be performed for all the receiving data. Frequency synchronization is even more complicated for uplink communications in OFDMA (orthogonal frequency division multiple access) systems because the base station (BS) has to deal with signals from different users in the same bandwidth. Each user’s data is affected by a different CFO. Because of this, estimation and correction of the CFOs cannot be accomplished by the same methods as in OFDM systems.
2
S., Poonguzhali, Sathish Kumar D. y Immanuel Rajkumar R. "An SDN Based WBAN using Congestion Control Routing Algorithm with Energy Efficiency". En Mobile Computing Solutions for Healthcare Systems, 1–15. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815050592123010005.
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The use of a Software-Defined Network (SDN) approach improves the control and management processes of the complex structured wireless sensor network. Also, it provides higher flexibility and a dynamic network structure. SDN is introduced to efficiently and opportunistically use the limited spectrum to minimize the spectrum scarcity issues. The LEACH protocol is self-organizing and is characterized as an adaptive clustering protocol that randomly distributes energy load among nodes. By using cluster heads and data aggregation, excessive energy consumption is avoided. SDN is often placed in an open environment and is susceptible to various attacks. The routing is based on multihop’s flawless hauling range data transmission between the base station and cluster heads.The advantage of LEACH is that each node has the same probability of being a cluster head, which makes the energy efficiency of each node relatively balanced. Massive multiple-input multiple outputs (MIMO) play a polar role within the fifth generation (5G) wireless networks. However, its performance heavily depends on correct synchronization. Although timing offset (TO) can be avoided by applying orthogonal frequency division multiplexing (OFDM) with an adequate length of cyclic prefix (CP), carrier frequency offset (CFO) is still a challenging issue. Especially in the uplink of multiuser massive MIMO systems, CFO compensation can impose a substantial amount of computational complexity on the base station (BS) due to many BS antennas. However, to the best of our knowledge, no study looks into the joint estimation of CFOs and wireless channels in orthogonal frequency division multiplexing (OFDM) based massive MIMO systems. In this project, we propose a low-complexity CFO compensation technique to resolve this problem. In our paper, to traumatize this issue, we tend to propose a low-complexity frequency synchronization technique with high accuracy for the transmission of multiuser orthogonal-frequency.division multiplexing-based large MIMO systems. First, we propose a carrier frequency offset (CFO) estimation whose process complexity will increase linearly concerning the quantity of base station (BS) antennas. We then propose a joint CFO compensation technique that is performed when combining the received signals at the BS antennas. As a result, its machine complexity exceeds the number of BS antennas. As a third contribution, the impact of the joint CFO estimation error is studied, and it is tested that by applying our planned joint CFO compensation technique, the joint CFO estimation error causes a continuing section shift solely. We tend to propose an algorithm to expeditiously calculate and take away the estimation error. Our simulation results testify to the effectiveness of our planned synchronization technique. As it is incontestable, our planned synchronization technique results in a bit of error rate performance that is the one for an asynchronous system. This leads to a considerable saving in the computational cost of the receiver. Numerical results are presented to verify the performance of our proposed joint CFO compensation technique and to investigate its computational complexity.
Actas de conferencias sobre el tema "Carrier-Frequency-Offset (CFO) Estimation"
1
Wang, Dajin y Ou Wang. "An Approximate Method of Carrier Frequency Offset (CFO) Estimation for OFDM System". En 2014 IEEE 80th Vehicular Technology Conference (VTC Fall). IEEE, 2014. http://dx.doi.org/10.1109/vtcfall.2014.6965866.
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Nidhiry, S. M., K. V. Babu y G. R. Reddy. "Blind carrier frequency offset (CFO) estimation using modified Viterbi and Viterbi (MVAV) algorithm". En 2013 International Multi-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s). IEEE, 2013. http://dx.doi.org/10.1109/imac4s.2013.6526425.
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Huang, Chenyu, William Misskey y Joe Toth. "Combination of Coarse Symbol Timing and Carrier Frequency Offset (CFO) Estimation Techniques for MIMO OFDM Systems". En 2006 Canadian Conference on Electrical and Computer Engineering. IEEE, 2006. http://dx.doi.org/10.1109/ccece.2006.277549.
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