Academic literature on the topic 'Wireless communication systems. Estimation theory. Speed'
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Journal articles on the topic "Wireless communication systems. Estimation theory. Speed"
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Bessios, Anthony G., and Frank M. Caimi. "High-rate wireless data communications: An underwater acoustic communications framework at the physical layer." Mathematical Problems in Engineering 2, no. 6 (1996): 449–85. http://dx.doi.org/10.1155/s1024123x96000439.
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A variety of signal processing functions are performed by Underwater Acoustic Systems. These include: 1) detection to determine presence or absence of information signals in the presence of noise, or an attempt to describe which of a predetermined finite set of possible messages{mi,i,...,M}the signal represents; 2) estimation of some parameterθˆassociated with the received signal (i.e. range, depth, bearing angle, etc.); 3) classification and source identification; 4) dynamics tracking; 5) navigation (collision avoidance and terminal guidance); 6) countermeasures; and 7) communications. The focus of this paper is acoustic communications.There is a global current need to develop reliable wireless digital communications for the underwater environment, with sufficient performance and efficiency to substitute for costly wired systems. One possible goal is a wireless system implementation that insures underwater terminal mobility. There is also a vital need to improve the performance of the existing systems in terms of data-rate, noise immunity, operational range, and power consumption, since, in practice, portable high-speed, long range, compact, low-power systems are desired.We concede the difficulties associated with acoustic systems and concentrate on the development of robust data transmission methods anticipating the eventual need for real time or near real time video transmission. An overview of the various detection techniques and the general statistical digital communication problem is given based on a statistical decision theory framework. The theoretical formulation of the underwater acoustic data communications problem includes modeling of the stochastic channel to incorporate a variety of impairments and environmental uncertainties, and proposal of new compensation strategies for an efficient and robust receiver design.
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Bhatt, Maharshi K., Bhavin S. Sedani, and Komal Borisagar. "Performance analysis of massive multiple input multiple output for high speed railway." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 6 (December 1, 2021): 5180. http://dx.doi.org/10.11591/ijece.v11i6.pp5180-5188.
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This paper analytically reviews the performance of massive multiple input multiple output (MIMO) system for communication in highly mobility scenarios like high speed Railways. As popularity of high speed train increasing day by day, high data rate wireless communication system for high speed train is extremely required. 5G wireless communication systems must be designed to meet the requirement of high speed broadband services at speed of around 500 km/h, which is the expected speed achievable by HSR systems, at a data rate of 180 Mbps or higher. Significant challenges of high mobility communications are fast time-varying fading, channel estimation errors, doppler diversity, carrier frequency offset, inter carrier interference, high penetration loss and fast and frequent handovers. Therefore, crucial requirement to design high mobility communication channel models or systems prevails. Recently, massive MIMO techniques have been proposed to significantly improve the performance of wireless networks for upcoming 5G technology. Massive MIMO provide high throughput and high energy efficiency in wireless communication channel. In this paper, key findings, challenges and requirements to provide high speed wireless communication onboard the high speed train is pointed out after thorough literature review. In last, future research scope to bridge the research gap by designing efficient channel model by using massive MIMO and other optimization method is mentioned.
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Gao, Meilin, Bo Ai, Yong Niu, Zhewei Zhang, Yanqing Xu, and Dapeng Li. "Resource allocation in D2D-aided high-speed railway wireless communication systems: a matching theory approach." China Communications 14, no. 12 (December 2017): 87–99. http://dx.doi.org/10.1109/cc.2017.8246339.
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Abuella, Hisham, Sabit Ekin, Samir Ahmed, Farshad Miramirkhani, Burak Kebapci, and Murat Uysal. "Wireless Sensing using Vehicle Headlamps for Intelligent Transportation Systems: Proof of Concept." MATEC Web of Conferences 271 (2019): 06004. http://dx.doi.org/10.1051/matecconf/201927106004.
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Vehicular communication and sensing technologies are mainly based on the conventional radio frequency (RF) or laser technologies. These systems suffer from several issues such as RF interference and poor performance in scenarios where the incidence angle between the speed detector and the vehicle is rapidly varying. Introducing a new sensing technology will add diversity to these systems and enhance the reliability of the real-time data. In this study, we investigate our speed estimation sensing system named “Visible Light Detection and Ranging (ViLDAR)”. ViLDAR utilizes visible light sensing technology to measure the variation of the vehicle's headlamp light intensity and estimate the vehicle speed. The measurement settings of the ViLDAR experiments are presented. The preliminary results obtained in the real-world environment/setting are promising when compared to the simulations. Additional measurements using the ViLDAR prototype will be conducted under different conditions and scenarios to further optimize the system.
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Zhao, Yanrong, Xiyu Wang, Gongpu Wang, Ruisi He, Yulong Zou, and Zhuyan Zhao. "Channel estimation and throughput evaluation for 5G wireless communication systems in various scenarios on high speed railways." China Communications 15, no. 4 (April 2018): 86–97. http://dx.doi.org/10.1109/cc.2018.8357743.
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Lian, Jie, Yan Gao, Peng Wu, and Dianbin Lian. "Orthogonal Frequency Division Multiplexing Techniques Comparison for Underwater Optical Wireless Communication Systems." Sensors 19, no. 1 (January 4, 2019): 160. http://dx.doi.org/10.3390/s19010160.
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Optical wireless communication is an energy-efficient and cost-effective solution for high-speed and highly-secure wireless connections. In this paper, we compare, discuss, and analyze three popular optical orthogonal frequency division multiplexing (OFDM) techniques, such as DC-biased optical OFDM (DCO-OFDM), asymmetrically-clipped optical OFDM (ACO-OFDM), and unipolar OFDM (U-OFDM), for underwater optical wireless communication systems. The peak power constraint, bandwidth limit of the light source, turbulence fading underwater channel, and the channel estimation error are taken into account. To maximize the achievable data propagation distance, we propose to optimize the modulation index that controls the signal magnitude, and a bitloading algorithm is applied. This optimization process trades off the clipping distortion caused by the peak power constraint and the signal to noise ratio (SNR). The SNR and clipping effects of the three compared OFDM techniques are modeled in this paper. From the numerical results, DCO-OFDM outperforms ACO- and U-OFDM when the transmitted bit rate is high compared to the channel bandwidth. Otherwise, U-OFDM can provide a longer propagation distance or requires less transmitted power.
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Chen, Hua-Ching, Chia-Lun Wu, Jwo-Shiun Sun, and Hsuan-Ming Feng. "Carrier Current Line Systems Technologies in M2M Architecture for Wireless Communication." Journal of Sensors 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/2652310.
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This paper investigates the Carrier Current Line Systems (CCLS) technologies of Machine to Machine (M2M) architecture which applied for mobile station coverage working with metro, high speed railway, and subway such as analysis for public transport of an indoor transition system. It is based on the theory and practical engineering principle which provide guidelines and formulas for link budget design to help designers fully control and analyze the single output power of uplink and downlink between Fiber Repeaters (FR) and mobile station as well as base station. Finally, the results of this leakage cable system are successfully applied to indoor coverage design for metro rapid transit system which are easily installed cellular over fiber solutions for WCDMA/LTE access is becoming Ubiquitous Network to Internet of Thing (IOT) real case hierarchy of telecommunication.
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Dhanasekaran, S., and J. Ramesh. "Channel estimation using spatial partitioning with coalitional game theory (SPCGT) in wireless communication." Wireless Networks 27, no. 3 (January 23, 2021): 1887–99. http://dx.doi.org/10.1007/s11276-020-02528-4.
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Waseem, Athar, Aqdas Naveed, Sardar Ali, Muhammad Arshad, Haris Anis, and Ijaz Mansoor Qureshi. "Compressive Sensing Based Channel Estimation for Massive MIMO Communication Systems." Wireless Communications and Mobile Computing 2019 (May 27, 2019): 1–15. http://dx.doi.org/10.1155/2019/6374764.
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Massive multiple-input multiple-output (MIMO) is believed to be a key technology to get 1000x data rates in wireless communication systems. Massive MIMO occupies a large number of antennas at the base station (BS) to serve multiple users at the same time. It has appeared as a promising technique to realize high-throughput green wireless communications. Massive MIMO exploits the higher degree of spatial freedom, to extensively improve the capacity and energy efficiency of the system. Thus, massive MIMO systems have been broadly accepted as an important enabling technology for 5th Generation (5G) systems. In massive MIMO systems, a precise acquisition of the channel state information (CSI) is needed for beamforming, signal detection, resource allocation, etc. Yet, having large antennas at the BS, users have to estimate channels linked with hundreds of transmit antennas. Consequently, pilot overhead gets prohibitively high. Hence, realizing the correct channel estimation with the reasonable pilot overhead has become a challenging issue, particularly for frequency division duplex (FDD) in massive MIMO systems. In this paper, by taking advantage of spatial and temporal common sparsity of massive MIMO channels in delay domain, nonorthogonal pilot design and channel estimation schemes are proposed under the frame work of structured compressive sensing (SCS) theory that considerably reduces the pilot overheads for massive MIMO FDD systems. The proposed pilot design is fundamentally different from conventional orthogonal pilot designs based on Nyquist sampling theorem. Finally, simulations have been performed to verify the performance of the proposed schemes. Compared to its conventional counterparts with fewer pilots overhead, the proposed schemes improve the performance of the system.
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Sun, Hui, Xianyu Wang, Kaixin Yang, and Tongrui Peng. "Analysis of Distributed Wireless Sensor Systems with a Switched Quantizer." Complexity 2021 (July 29, 2021): 1–14. http://dx.doi.org/10.1155/2021/6690761.
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In this article, a switched quantizer is proposed to solve the bandwidth limitation application problem for distributed wireless sensor networks (WSNs). The proposed estimator based on switched quantitative event-triggered Kalman consensus filtering (KCF) algorithm is used to monitor the aircraft cabin environmental parameters when suffering packet loss and path loss issues during the communication process for WSN. The quantization error of the novel switched quantizer structure is bounded, and the corresponding stability theory for the quantitative estimation approach is proved. Compared with other methods, the simulation results for the introduced method verify that the environmental parameters can be estimated accurately and timely and reduce the burden of network communication bandwidth.
Dissertations / Theses on the topic "Wireless communication systems. Estimation theory. Speed"
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Ning, Yu. "Mobile speed estimation for hierarchical wireless network." Diss., Columbia, Mo. : University of Missouri-Columbia, 2005. http://hdl.handle.net/10355/4298.
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Thesis (M.S.)--University of Missouri-Columbia, 2005.The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (July 14, 2006) Includes bibliographical references.
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Kim, Yongsub. "Estimation and equalization of time-selective fading channels." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/14925.
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Koneru, Avanthi. "Comparative Study of RSS-Based Collaborative Localization Methods in Wireless Sensor Networks." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5452/.
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In this thesis two collaborative localization techniques are studied: multidimensional scaling (MDS) and maximum likelihood estimator (MLE). A synthesis of a new location estimation method through a serial integration of these two techniques, such that an estimate is first obtained using MDS and then MLE is employed to fine-tune the MDS solution, was the subject of this research using various simulation and experimental studies. In the simulations, important issues including the effects of sensor node density, reference node density and different deployment strategies of reference nodes were addressed. In the experimental study, the path loss model of indoor environments is developed by determining the environment-specific parameters from the experimental measurement data. Then, the empirical path loss model is employed in the analysis and simulation study of the performance of collaborative localization techniques.
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Hamilton, Benjamin Russell. "Applications of bayesian filtering in wireless networks: clock synchronization, localization, and rf tomography." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44707.
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In this work, we investigate the application of Bayesian filtering techniques such as Kalman Filtering and Particle filtering to the problems of network time synchronization, self-localization and radio-frequency (RF) tomography in wireless networks. Networks of large numbers of small, cheap, mobile wireless devices have shown enormous potential in applications ranging from intrusion detection to environmental monitoring. These applications require the devices to have accurate time and position estimates, however traditional techniques may not be available. Additionally RF tomography offers a new paradigm to sense the network environment and could greatly enhance existing network capabilities.
While there are some existing works addressing these problems, they all suffer from limitations. Current time synchronization methods are not energy efficient on small wireless devices with low quality oscillators. Existing localization methods do not consider additional sources of information available to nodes in the network such as measurements from accelerometers or models of the shadowing environment in the network. RF tomography has only been examined briefly in such networks, and current algorithms can not handle node mobility and rely on shadowing models that have not been experimentally verified.
We address the time synchronization problem by analyzing the characteristics of the clocks in small wireless devices, developing a model for it, and then applying a Kalman filter to track both clock offset and skew. In our investigation into RF tomography, we present a method using a Kalman filter which jointly estimates and tracks static and dynamic objects in the environment. We also use channel measurements collected from a field test of our RF tomography testbed to compare RF shadowing models. For the localization problem, we present two algorithms incorporating additional information for improved localization: one based on a distributed extended Kalman filter that combines local acceleration measurements with signal strength measurements for improved localization, and another that uses a distributed particle filter to incorporate a model of the channel environment.
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Krummenauer, Rafael. "Sobre modelos e métodos de estimação de direção de chegada de sinais em sistemas digitais de comunicação sem fio." [s.n.], 2011. http://repositorio.unicamp.br/jspui/handle/REPOSIP/260619.
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Orientador: Amauri LopesTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação
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Resumo: Nesta tese tratamos do problema de estimação de direção de chegada de sinais digitalmente modulados, especificamente encontrado no enlace reverso de sistemas de comunicação semfiomultiusuário em que a estação rádio-base é composta por um arranjo de antenas, posicionadas de acordo com alguma geometria pré-definida. Os objetivos principais da tese são: esclarecer detalhes normalmente não tratados na descrição dos modelos de dados considerados na literatura existente, em especial, a respeito das condições de enlace e do sistema receptor necessárias para suportar a validade dos modelos empregados; agrupar alguns dos métodos de estimação existentes mais relevantes para o contexto tratado e avaliar suas vantagens e desvantagens; e introduzir o método de estimação desenvolvido nas pesquisas do período de doutorado, o qual representa a contribuição maior da tese em termos de metodologia. A solução proposta é fundamentada no critério da máxima verossimilhança e as análises de desempenho feitas através de simulações numéricas mostram que o estimador fornece resultados com qualidade próxima ao limite definido pelo limitante de Cramér-Rao. Algumas características importantes do método são: i) capacidade de operar com qualquer número de fontes se o número de antenas for maior ou igual a dois e o número de snapshots for suficientemente maior que a cardinalidade do espaço de sinal; ii) a qualidade da estimação não é afetada pela separação angular entre as fontes; e iii) possibilidade de operar com arranjos descalibrados
Abstract: This thesis deals with the problem of estimating the direction of arrival of digitally modulated signals, specifically found in the uplink of multiuser wireless communication systems where the base station uses an antenna array. The main objectives of the thesis are: to clarify some details normally not treated in the description of the data models assumed in the existing literature, specially, on link and receiver conditions that are necessary to validate the employed models; to present some of the most relevant estimation methods to the current context and to evaluate their advantages and disadvantages; and to introduce the estimation method developed in the researches during the doctoral period, which represents the greater contribution of the thesis in terms of metodology. The proposed solution is fundamented in the maximum likelihood criterion and the performance analysis done through numerical simulations show that the estimator yields results with a quality close to that defined by the Cramér-Rao bound. Some important characteristics of the method are: i) capacity to operate with any number of sources if the number of antennas is greater than or equal to two and the number of snapshots is sufficiently greater than the cardinality of the signal space; ii) the estimation quality does not depend on the angle separation between sources; and iii) possibility to operate with uncalibrated arrays
Doutorado
Telecomunicações e Telemática
Doutor em Engenharia Elétrica
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Loiola, Murilo Bellezoni. "Estimação de canais MIMO variantes no tempo usando filtros de Kalman." [s.n.], 2009. http://repositorio.unicamp.br/jspui/handle/REPOSIP/261104.
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Orientadores: Renato da Rocha Lopes, João Marcos Travassos RomanoTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação
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Resumo: Neste trabalho utilizamos filtros de Kalman para estimar canais de comunicação sem fio variantes no tempo em sistemas com múltiplas entradas e múltiplas saídas. Primeiramente, propusemos um estimador ótimo (no sentido de minimização do erro quadrático médio de estimação) para rastrear canais planos em sistemas utilizando códigos espaço-temporais ortogonais por blocos. Graças à ortogonalidade destes códigos, foi possível simplificar as equações do filtro de Kalman. Mostramos que as estimativas fornecidas pelo estimador proposto correspondem a somas ponderadas de estimativas instantâneas de máxima verossimilhança do canal. Ainda para este sistema, propusemos um filtro de Kalman em estado estacionário para modulações de módulo constante. O filtro em estado estacionário tem desempenho semelhante ao do filtro de Kalman ótimo, embora necessite apenas de uma fração dos cálculos envolvidos. Em seguida, propusemos um receptor baseado no filtro de Kalman estendido para realizar conjuntamente as tarefas de estimação de canais seletivos em freqüência e detecção de sinais em sistemas com múltiplas entradas, múltiplas saídas (MIMO, do inglês multiple-input, multiple-output) e multiplexação espacial. Por fim, adaptamos este estimador conjunto para incorporá-lo a um receptor turbo. Desta maneira, o estimador conjunto pode aproveitar a redundância introduzida pela codificação de canal para aprimorar as estimativas dos coeficientes do canal e dos símbolos transmitidos por meio de um processo iterativo
Abstract: In this work we use Kalman filters to estimate time-varying wireless channels in multiple-input, multiple-output (MIMO) systems. First, we propose an optimal estimator (in the minimum mean squared error sense) to track flat channels in orthogonal space-time block coded systems. Due to the orthogonality inherent to these codes, the Kalman filter equations can be simplified. We also show that the channel estimates provided by the proposed estimator correspond to weighted sums of instantaneous maximum likelihood channel estimates. For constant modulus signal constellations, we propose a steady-state Kalman filter. The proposed steady-state Kalman filter suffers negligible performance degradation compared to the optimal Kalman filter while requiring just a fraction of its complexity. After that, we propose an extended Kalman filter-based receiver that jointly performs the estimation of time-varying frequency-selective MIMO channels and the detection of transmitted signals in spatial multiplexing systems. Finally, we adapt this joint estimator to a turbo receiver. Therefore, the joint estimator can benefit from the error correction capabilities of channel codes to iteratively improve channel and signal estimates
Doutorado
Telecomunicações e Telemática
Doutor em Engenharia Elétrica
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Talaei, Farnoosh. "Wireless channel estimation and channel prediction for MIMO communication systems." Thesis, 2017. https://dspace.library.uvic.ca//handle/1828/8923.
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In this dissertation, channel estimation and channel prediction are studied for wireless communication systems. Wireless communication for time-variant channels becomes more important by the fast development of intelligent transportation systems which motivates us to propose a reduced rank channel estimator for time-variant frequency-selective high-speed railway (HSR) systems and a reduced rank channel predictor for fast time-variant flat fading channels. Moreover, the potential availability of large bandwidth channels at mm-wave frequencies and the small wavelength of the mm-waves, offer the mm-wave massive multiple-input multiple-output (MIMO) communication as a promising technology for 5G cellular networks. The high fabrication cost and power consumption of the radio frequency (RF) units at mm-wave frequencies motivates us to propose a low-power hybrid channel estimator for mm-wave MIMO orthogonal frequency-division multiplexing (OFDM) systems.
The work on HSR channel estimation takes advantage of the channel's restriction to low dimensional subspaces due to the time, frequency and spatial correlation of the channel and presents a low complexity linear minimum mean square error (LMMSE) estimator for MIMO-OFDM HSR channels. The channel estimator utilizes a four-dimensional (4D) basis expansion channel model obtained from band-limited generalized discrete prolate spheroidal (GDPS) sequences. Exploiting the channel's band-limitation property, the proposed channel estimator outperforms the conventional interpolation based least square (LS) and MMSE estimators in terms of estimation accuracy and computational complexity, respectively. Simulation results demonstrate the robust performance of the proposed estimator for different delay, Doppler and angular spreads.
Channel state information (CSI) is required at the transmitter for improving the performance gain of the spatial multiplexing MIMO systems through linear precoding.
In order to avoid the high data rate feedback lines, which are required in fast time-variant channels for updating the transmitter with the rapidly changing CSI, a subframe-wise channel tracking scheme is presented. The proposed channel predictor is based on an assumed DPS basis expansion model (DPS-BEM) for exploiting the variation of the channel coefficients inside each sub-frame and an autoregressive (AR) model of the basis coefficients over each transmitted frame. The proposed predictor properly exploits the channel's restriction to low dimensional subspaces for reducing
the prediction error and the computational complexity. Simulation results demonstrate
that the proposed channel predictor out-performs the DPS based minimum energy (ME) predictor for different ranges of normalized Doppler frequencies and has better performance than the conventional Wiener predictor for slower time-variant channels and almost the similar performance to it for very fast time-variant channels with the reduced amount of computational complexity.
The work on the hybrid mm-wave channel estimator considers the sparse nature of
the mm-wave channel in angular domain and leverages the compressed sensing (CS)
tools for recovering the angular support of the MIMO-OFDM mm-wave channel. The angular channel is treated in a continuous framework which resolves the limited
angular resolution of the discrete sparse channel models used in the previous CS based
channel estimators. The power leakage problem is also addressed by modeling the
continuous angular channel as a multi-band signal with the bandwidth of each sub-band
being proportional to the amount of power leakage. The RF combiner is designed
to be implemented using a network of low-power switches for antenna subset selection
based on a multi-coset sampling pattern. Simulation results validate the effectiveness
of the proposed hybrid channel estimator both in terms of the estimation accuracy
and the RF power consumption.Graduate
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"A blind channel estimation method for space-time coding systems." 2003. http://library.cuhk.edu.hk/record=b5891466.
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Zheng Ming.Thesis (M.Phil.)--Chinese University of Hong Kong, 2003.
Includes bibliographical references (leaves 63-66).
Abstracts in English and Chinese.
Chapter 1. --- Introduction --- p.1
Chapter 1.1 --- Review of space-time coding and blind channel estimation --- p.1
Chapter 1.2 --- Introduction of space-time coding system --- p.4
Chapter 1.3 --- Diversity gain of space-time coding --- p.6
Chapter 1.4 --- Re-estimation --- p.7
Chapter 1.5 --- Notations --- p.8
Chapter 1.6 --- Outline of thesis --- p.8
Chapter 2. --- Estimation for BPSK Signals --- p.10
Chapter 2.1 --- Introduction to maximum likelihood estimation --- p.10
Chapter 2.2 --- System model --- p.11
Chapter 2.3 --- Deterministic ML algorithm --- p.14
Chapter 2.4 --- Re-estimation --- p.16
Chapter 2.5 --- Application to other constellations --- p.18
Chapter 2.6 --- Simulation results --- p.18
Chapter 2.7 --- Summary --- p.21
Chapter 3. --- Estimation for Flat Fading Channels --- p.22
Chapter 3.1 --- Introduction of constant modulus algorithm (CMA) --- p.22
Chapter 3.2 --- System model for flat fading channels --- p.24
Chapter 3.3 --- Blind estimation with CMA --- p.26
Chapter 3.3.1 --- Problem statement --- p.26
Chapter 3.3.2 --- Estimating channel with CMA --- p.28
Chapter 3.3.3 --- Solving the ambiguity problem --- p.32
Chapter 3.4 --- Re-estimation for flat fading channels --- p.39
Chapter 3.5 --- Estimation algorithm --- p.39
Chapter 3.6 --- Application to multi-antenna system --- p.41
Chapter 3.7 --- Simulation results --- p.42
Chapter 3.8 --- Summary --- p.46
Chapter 4. --- Estimation lor Frequency Selective Fading Channels --- p.48
Chapter 4.1 --- Introduction of space-time coded OFDM --- p.48
Chapter 4.2 --- System model --- p.51
Chapter 4.3 --- Estimation Algorithm --- p.54
Chapter 4.4 --- Simulation results --- p.56
Chapter 4.5 --- Summary --- p.59
Chapter 5. --- Conclus ions and Future Work --- p.60
Chapter 5.1 --- Conclusions --- p.60
Chapter 5.2 --- Future work --- p.61
Bibliography: --- p.63
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"Issues on broadband wireless communication systems: channel estimation, frequency synchronization and space-time-frequency coding." Thesis, 2005. http://library.cuhk.edu.hk/record=b6073967.
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"Faster, higher, stronger"---the Olympic motto is being pursued and practised in the design of broadband wireless communication systems. Motivated by the huge demands for fast and reliable communications over wireless channels, broadband communication systems are required to provide faster (low-complexity) data processing, higher data throughput and stronger (lower error rate) performance. In practice, however, broadband communication systems must cope with critical performance-limiting challenges that include time- and frequency-selective fading channels, noise, inter-symbol interference (ISI), intercarrier interference (ICI) as well as power and bandwidth constraints. To address these challenges, this thesis investigates several physical layer aspects of broadband wireless communication systems.Incorporating OFDM into multiple-input multiple-output (MIMO) system, MIMO-OFDM has been shown to provide larger channel capacity and greater diversity gain. However, current coding schemes for MIMO-OFDM are either space-time coded (STC) OFDM without the guarantee of full diversity gains or space-frequency coding (SFC) with a greater loss of data rate. Furthermore, most existing STC and SFC have focused on quasi-static fading which is not practical for broadband wireless communications. When multi-band OFDM (MB-OFDM) is applied to ultra-wide band (UWB) communications, a high diversity can be obtained, but in the expense of a much lower (close to half) data rate. To address the limitations of existing coding schemes for broadband wireless communication systems, this thesis: (i) proposes a space-time-frequency coding (STFC) that can achieve maximum diversity and maximum symbol rate transmission over MIMO block-fading channels; (ii) derives a high-rate full-diversity SFC from STFC tailored for frequency-selective fading channels; and (iii) proposes a high-rate high-diversity algebraic time-frequency coding (ATFC) for MB-OFDM system.
Orthogonal frequency division multiplexing (OFDM) is an effective technique to eliminate ISI in broadband wireless communications. This thesis studies the problem of training-based OFDM channel estimation and proposes a training method that minimizes the number of pilots employed to achieve a desired bit error rate (BER) performance. A clustered pilot pattern is further proposed to enhance the BER performance. Focusing on OFDM frequency synchronization, this thesis also proposes a clustered pilot tones placement and a novel pilot sequence design for carrier frequency offset (CFO) compensation. The analytical and simulation results show that the root mean square error (RMSE) of the CFO estimate can be greatly reduced.
Zhang Wei.
"July 2005."
Adviser: Pak-Chung Ching.
Source: Dissertation Abstracts International, Volume: 67-01, Section: B, page: 0461.
Thesis (Ph.D.)--Chinese University of Hong Kong, 2005.
Includes bibliographical references (p. 126-143).
Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Abstracts in English and Chinese.
School code: 1307.
Books on the topic "Wireless communication systems. Estimation theory. Speed"
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Institute Of Electrical and Electronics Engineers and IEEE Microwave Theory & Techniques Socie. Silicon Monolithic Integrated Circuits in Rf Systems, 1998 Topical Meeting on: IEEE Microwave Theory and Techniques Society, Sponsor(S. Institute of Electrical & Electronics Enginee, 1999.
Find full textBook chapters on the topic "Wireless communication systems. Estimation theory. Speed"
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Papazafeiropoulos, Anastasios. "Channel Characterization and Modelling for Mobile Communications." In Handbook of Research on Heterogeneous Next Generation Networking, 382–413. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-108-7.ch017.
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As a consequence of the growing interest in wireless communications systems, much effort is being devoted to the channel characterization and modelling. This is obvious since the performance depends fundamentally on the channels under consideration, so a communication system design must be preceded by the study of channel characteristics. This chapter considers the propagation environment in which a wireless system operates. In other words, we are primarily interested in the characterization of radio links between the transmitter and the receiver antenna that will be modelled by randomly time-variant linear systems. Wireless communication channels are usually described by considering three separable phenomena, namely, path loss, shadowing, and multipath fading. In the following, we briefly overview various efforts to characterize such aspects of wireless communication channels. Firstly, in this chapter we address the estimation of signal decay due to propagation loss which is very important in the determination of the necessary transmission power and the coverage area. Although propagation loss models are sometimes quite accurate, they generally fail to predict signal fluctuations due to the effect of the terrain near the antenna. Such a phenomenon of signal fluctuations is usually called shadowing. However, the effect of multipath fading is generally more complex because it does not only change in time but also varies over frequency. As a result, this topic will also be presented in enough depth and a number of statistical models will be studied. Moreover, the various categories of fading will be discussed. Finally, a novel small-scale model derived by the author is presented in order to give a recent application of the theory.
Conference papers on the topic "Wireless communication systems. Estimation theory. Speed"
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Kumar, Neelesh, Sasan Haghani, and Devdas Shetty. "Wearable Wireless Inertial Sensors for Estimation of Gait Parameters and its Integration With Portable Harness Ambulatory System for Rehabilitation." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-38028.
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There is a growing demand for quantifying the performance and efficacy of rehabilitation programs. Researchers are advocating home based rehabilitation devices and continuous monitoring of patients status in real time through wearable sensors. This paper investigates the use of inertial measurement sensors for recording the dynamic gait status. In order to facilitate long term recording and minimal interface of recording devices, these MEMS sensors are advantageous in many ways over the conventional laboratory methods. Portable Harness Ambulatory System (PHAS) can be effectively used in home environments with minimal assistance for gait rehabilitation. This paper addresses the stages of mechatronic integration of a prototype of PHAS with an aim for early gait rehabilitation of elderly and stroke survivors without fear of falling. Sensors modules comprised of accelerometer and gyroscope were developed. X-bee wireless communication protocol is used for transmitting the gait data for computer storage. Gait experiments with wireless sensor modules attached to shoulder, wrist, thigh and ankle joints of normal human subjects were conducted for slow and fast walking speed. The inertial measurement sensors provide information on the range of motion, gait speed, and orientation. Experimental results prove that sensor modules were successfully able to acquire and record the gait information wirelessly. These sensor modules can also be integrated in the PHAS prototype. The paper outlines the results of initial research and discusses possible alternatives.
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Hijazi, Hussein, and Laurent Ros. "OFDM high speed channel complex gains estimation using Kalman filter and QR-detector." In 2008 IEEE International Symposium on Wireless Communication Systems (ISWCS). IEEE, 2008. http://dx.doi.org/10.1109/iswcs.2008.4726011.
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Dian Fan, Zhangdui Zhong, Gongpu Wang, and Feifei Gao. "Doppler shift estimation for high-speed railway wireless communication systems with large-scale linear antennas." In 2015 International Workshop on High Mobility Wireless Communications (HMWC). IEEE, 2015. http://dx.doi.org/10.1109/hmwc.2015.7354343.
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Hao, Xin, Zhaohui Wang, Qiuyu WU, and Changxing Lin. "A Refined Phase Estimation Based Parallel Carrier Recovery Algorithm in High Speed Wireless Communication Systems." In 2018 IEEE 18th International Conference on Communication Technology (ICCT). IEEE, 2018. http://dx.doi.org/10.1109/icct.2018.8600122.
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Rajam, Gargi, P. Sandeeptha, and Sudheesh P. "Channel Estimation for High Speed Wireless Systems using Gaussian Particle Filter and Auxiliary Particle Filter." In 2019 International Conference on Communication and Signal Processing (ICCSP). IEEE, 2019. http://dx.doi.org/10.1109/iccsp.2019.8698063.
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Chen, Yeong-Sheng, Shih-Hao Chang, and Chun-Chien Teng. "Location estimation based on convex overlapping communication regions in wireless ad hoc sensor networks." In 2014 4th International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic Systems (VITAE). IEEE, 2014. http://dx.doi.org/10.1109/vitae.2014.6934471.
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Wang, Xiyu, Gongpu Wang, Ruisi He, and Yulong Zou. "Uplink channel estimation with basis expansion model and expectation maximization for wireless communication systems on high speed railways." In 2017 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2017. http://dx.doi.org/10.1109/iccchina.2017.8330387.
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