Signal Processing Advances in Wireless and Mobile Communications, Volume 2

Signal Processing Advances in Wireless and Mobile Communications, Volume 2 : Trends in Single- and Multi-User Systems

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This is the second in a two-volume set that captures major recent advances in signal processing (SP) tools, as they apply to wireless and mobile communication systems. The set brings together contributions by leaders in the field worldwide, and covers an exceptionally wide range of technologies and methodologies, including noise and interference cancellation, modem design, mobile Internet services, next-generation audio/video broadcasting, cellular telephony, and wireless multimedia networks. Volume II focuses on single- and multi-user communication systems.Volume II presents valuable new signal processing work on blind synchronization with single- and multi-sensor arrays, space-time transmit-receive diversity combining systems, time-varying channel modeling, signal separation with constant modulus constraints and parallel factor analysis tools. Volume II also presents important advances in multiuser systems, notably modern methods for canceling multiuser interference and mitigating multipath effects in CDMA and multicarrier systems at the physical layer, as well as signal processing issues at the network layer.show more

Product details

  • Paperback | 448 pages
  • 187 x 242 x 23mm | 861g
  • Pearson Education (US)
  • Prentice Hall
  • Upper Saddle River, United States
  • English
  • 013027190X
  • 9780130271907

About Georgios B. Giannakis

DR. GEORGIOS GIANNAKIS is Professor in the Electrical Engineering Department at the University of Minnesota. Giannakis' research interests include signal processing, communications, time series analysis, estimation and detection theory, and system identification. His specific areas of expertise include (poly)spectral analysis, wavelets, and cyclostationary and non-Gaussian signal processing for sonar, SAR, array and image processing applications. Formerly Professor in the Communications, Control, and Signal Processing Laboratory at the University of Virginia, he holds a Ph.D. in electrical engineering from the University of Southern California, Los Angeles.show more

Table of contents

Preface. 1. Time Varying Fading Channels. Channel Model. Coding Strategies for Transmissions over LTV Channels. Channel Estimation and Prediction. Conclusion. Appendices. Bibliography.2. Space-Time Diversity. Introduction. The Set-Up. General Framework for Detection. Space-Only Processing. Space-Time Processing. Bit Error Rate. Data Rate. Discussion. Conclusions. Bibliography.3. Algebraic Constant Modulus Algorithms. Introduction. Preliminaries. Derivation ofthe ACMA. Analysis ofthe Noise-free Case. ACMA in Noise. Asymptotic Behavior. Weighted ACMA. Binary Source Separation. Simulations. Joint Diagonalization. Concluding Remarks. Bibliography.4. Parafac Techniques For Signal Separation. Introduction. Theory. Algorithms for fitting the PARAFAC Model. Determining Three-Way Array Rank. Applications - Part I: Data Modeling. Applications - Part II: Examples. PARAFAC Extensions: PARAFAC2. Conclusions. Bibliography.5. Multipath Mitigation In Cdma Systems. Introduction. Signal Model. Receiver Design. Minimum Variance Receivers. Multipath Mitigation in Long Code Systems. Conclusions. Bibliography.6. Block Spreading For Multipath Resilient Generalized Multi-Carrier Cdma. Block Spreading Model. GMC-CDMA for MUI/ISI-free Multirate Transmissions. Performance and Comparisons. Conclusions and Discussion. Appendix 6:.A Dual Vandermonde-Lagrange Transceivers. Appendix 6:.B Modulo-Interpretation of GMC-CDMA. Bibliography.7. Multistage Interference Cancellation Algorithms For Ds/Cdma Signals. Introduction. Multiuser Signal Model. Overview of CDMA Receivers. Successive Interference Canceler (SIC). Exact BER Analysis. Approximate BER Analysis. Adaptive SIC (ASIC). Parallel Interference Canceler (PIC). BER Analysis for the PIC. State-Space Analysis. Conclusion. Bibliography.8. Signal Processing Based Collision Resolution. Packet Collision in Slotted Aloha Ad Hoc Networks. Packet Collision Model. The Training-based Zero Forcing Receiver. The Semi-blind Least Squares Smoothing Receiver. Blind Receivers. Resolvability Analysis. Network Performance Analysis. Numerical Examples. Concluding Remarks. Appendix.: Bibliography.9. Non-Data-Aided Digital Synchronization. Introduction. Signal Model. Classical Unconditional Maximum Likelihood (UML) Approach. Conditional Maximum Likelihood (CML)Approach. Minimum Conditioned Variance Compressed Likelihood Function (MCV-CML) Approach. Bounds and Performance Evaluation. Conclusions. Bibliography.10. Exploiting Antenna Arrays For Synchronization. Introduction. Data Model. Maximum Likelihood Estimator. An Asymptotically Equivalent Estimator. Heuristic Derivations. Calculating the Estimates with IQML and ESPRIT. Simulation Results. Conclusions. Appendix 1:0.A. Bibliography.Index.show more