Blind and Semi-blind Channel Estimation Under Space-time Coded Transmissions PDF Download
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Author: Nejib Ammar
Publisher:
ISBN:
Category :
Languages : en
Pages : 340
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Book Description
Author: Nejib Ammar
Publisher:
ISBN:
Category :
Languages : en
Pages : 340
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Book Description
Author: 鄭榮輝
Publisher:
ISBN:
Category :
Languages : en
Pages : 142
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Author: Ming Zheng
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 132
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Author: Hemanth Mullar Srikantaiah
Publisher:
ISBN:
Category :
Languages : en
Pages : 86
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Author: Shahrokh Nayeb Nazar
Publisher:
ISBN:
Category :
Languages : en
Pages :
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"The application of transmit diversity techniques such as Space-Time Block Coding (STBC) to the downlink of multiuser wireless communications systems has received considerable attention. The main advantage of such an approach is its ability to provide diversity gains through the use of multiple antennas only at the transmitting side without significantly increasing the complexity at the receiving end. Among the many multiple access techniques proposed, Multi-Carrier (MC) and Direct Sequence (DS) Code Division Multiple Access (CDMA) techniques are known as the most promising candidates for future broadband mobile communication networks. In MC and DS-CDMA systems or combination thereof, employing transmit diversity, the spatial diversity gains can only be realized if the underlying channels are accurately acquired at the receiver. Furthermore, such systems suffer from high computational complexity which should be properly addressed for practical implementations. Motivated by these observations, in the first part of this dissertation, we introduce the chip-level ST block coding scheme for DS-CDMA systems. For this scheme, we address the problems of single-user detection as well as blind channel estimation, and we show that chip-level coding does not suffer from antenna order ambiguity. Moreover, we demonstrate that chip-level schemes exhibit low decoding delay and allow for the design of adaptive single-user detectors with improved short data-record performance characteristics compared to their symbol-level counterparts. In the second part of this dissertation, we present a novel transmission scheme for the downlink of MC-CDMA systems with transmit diversity that is based on chip-level Space-Frequency (SF) block coding. For this scheme, we investigate the problem of blind channel estimation when the received signal processing is done (i) pre-Fast Fourier Transform (FFT); and (ii) post-FFT. We propose two blind channel estimation algorithms based on subspace and Minimum Variance Distortionless Response (MVDR) principles. Moreover, we present an analytical performance analysis of the proposed algorithms by investigating the bias as well as the finite data record mean-square error of the channel estimates. Our analysis shows that SFBC MC-CDMA systems do not suffer from antenna order ambiguity. In addition, to benchmark the accuracy of our estimation algorithms, we derive the corresponding Cramer-Rao bounds (CRB) based on a novel approach that assumes the knowledge of only the spreading code of the desired user. Our approach has the advantage of providing lower bounds which are tighter than the CRBs with known signatures. We also study the problem of single user detection for downlink transmissions to address the issue of multiuser interference. In the case of the post-FFT approach, we take advantage of the SFBC-induced signal structure to derive linear single-user detectors with improved performance in short data-record situations. Finally, in order to address the issue of computational complexity, we exploit the structure of the covariance matrix of the received signal to simplify the computations involved in estimating the channel, and forming the detector."--
Author: Georgios B. Giannakis
Publisher: John Wiley & Sons
ISBN: 047146287X
Category : Technology & Engineering
Languages : en
Pages : 488
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Eine vielversprechende Technologie zur Maximierung der Bandbreiteneffizienz in der breitbandigen drahtlosen Kommunikation ist die Raum-Zeit-Kodierung. Theorie und Praxis verbindend, ist dieses Buch die erste umfassende Diskussion von Grundlagen und designorientierten Aspekten von Raum-Zeit-Codes. Single-Carrier und Multi-Carrier-Übertragungen für Einzel- und Mehrnutzerkommunikation werden behandelt.
Author: Muhammad Zia
Publisher:
ISBN: 9781124319124
Category :
Languages : en
Pages :
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Book Description
We investigate blind and semi-blind channel estimation and detection techniques for multiple-input multiple-output (MIMO) communication systems. MIMO is an emerging technology that provides significant capacity and throughput gain over single-input single-output (SISO) systems without increase in bandwidth and power. To achieve these gains, typically, it requires pilot assisted channel estimation at the cost of bandwidth and power efficiency. Blind and semi-blind channel estimation or direct data detection techniques provide viable alternatives. We begin with blind zero-forcing (ZF) detection of Space-Time Block (STB) coded signal for MIMO systems over flat-fading channels for single user systems. We propose linear programming-based blind ZF equalization algorithm. Our method is globally convergent. We exploit redundancy and the implicit structure of space-time block codes to cast the problem into a low complexity linear programming. Unlikeseveral known methods, the proposed technique is applicable to full-rate space-time block codes such as the popular Alamouti orthogonal code and the quasi-orthogonal space time code. For orthogonal space-time codes, our LP algorithm achieves near maximum likelihood detection of orthogonal codes without channel knowledge and does not impose any conditions on the number of receive antennas. We extend this work to blind detection of STB coded data for co-channel synchronous multiuser MIMO system. We propose a globally convergent algorithm for the blind detection of co-channel multiuser signals under synchronous orthogonal space-time block coded modulation. We exploit the algebraic structure of the orthogonal space-time block codes and the Quadrature Amplitude Modulation (QAM) signal constellation to derive a quadratic programming (QP) algorithm that achieves desired convergence without the aid of training pilots. Focusing on the high rate space-time block codes in a synchronous co-channel multiuser system, we propose a successive processing strategy based on the proposed blind zero forcing (ZF) detector which has low computational complexity and fast convergence. Furthermore, our QP receiver for multiuser detection imposes less stringent conditions on the number of receive antennas of the multi-input-multi-output (MIMO) system. After investigating blind detection of STB coded signals for single and multiuser MIMO system, we focus on bandwidth and power efficient Hybrid Automatic Repeat reQuest (HARQ) at the physical layer level. The concept of HARQ is adapted in Long Term Evolution (LTE) and WiMAX standard and both standards consider full retransmission of the original copy of the original information. The physical layer performs joint detection called diversity combining. We propose retransmission of partial copy of original message and omit pilot symbols during retransmission. Our receiver jointly estimates channel of the both transmissions in semi-blind fashion. The joint detection of two transmissions improves overall performance of the receiver. We demonstrate bandwidth savings without significant performance loss and mild increase in complexity.
Author: Soham Sarkar
Publisher: John Wiley & Sons
ISBN: 1119571383
Category : Technology & Engineering
Languages : en
Pages : 292
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Book Description
A comprehensive review of the most recent applications of intelligent multi-modal data processing Intelligent Multi-Modal Data Processing contains a review of the most recent applications of data processing. The Editors and contributors – noted experts on the topic – offer a review of the new and challenging areas of multimedia data processing as well as state-of-the-art algorithms to solve the problems in an intelligent manner. The text provides a clear understanding of the real-life implementation of different statistical theories and explains how to implement various statistical theories. Intelligent Multi-Modal Data Processing is an authoritative guide for developing innovative research ideas for interdisciplinary research practices. Designed as a practical resource, the book contains tables to compare statistical analysis results of a novel technique to that of the state-of-the-art techniques and illustrations in the form of algorithms to establish a pre-processing and/or post-processing technique for model building. The book also contains images that show the efficiency of the algorithm on standard data set. This important book: Includes an in-depth analysis of the state-of-the-art applications of signal and data processing Contains contributions from noted experts in the field Offers information on hybrid differential evolution for optimal multilevel image thresholding Presents a fuzzy decision based multi-objective evolutionary method for video summarisation Written for students of technology and management, computer scientists and professionals in information technology, Intelligent Multi-Modal Data Processing brings together in one volume the range of multi-modal data processing.
Author: Alessandro Bazzi
Publisher: BoD – Books on Demand
ISBN: 9533070919
Category : Technology & Engineering
Languages : en
Pages : 724
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Book Description
In the last decades the restless evolution of information and communication technologies (ICT) brought to a deep transformation of our habits. The growth of the Internet and the advances in hardware and software implementations modified our way to communicate and to share information. In this book, an overview of the major issues faced today by researchers in the field of radio communications is given through 35 high quality chapters written by specialists working in universities and research centers all over the world. Various aspects will be deeply discussed: channel modeling, beamforming, multiple antennas, cooperative networks, opportunistic scheduling, advanced admission control, handover management, systems performance assessment, routing issues in mobility conditions, localization, web security. Advanced techniques for the radio resource management will be discussed both in single and multiple radio technologies; either in infrastructure, mesh or ad hoc networks.
Author: Roger Lee
Publisher: Springer
ISBN: 331961388X
Category : Technology & Engineering
Languages : en
Pages : 224
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Book Description
This book gathers 12 of the most promising papers presented at the 15th International Conference on Software Engineering, Artificial Intelligence Research, Management and Applications (SERA 2017) held on June 7–9, 2017 at the University of Greenwich, London, UK. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science, to share their experiences and to exchange new ideas and information in a meaningful way. The book also presents research findings regarding all aspects (theory, applications and tools) of computer and information science, and discusses the practical challenges encountered along the way and the solutions adopted to solve them.
