Space-Time Signal Processing for DS-CDMA Communication System

Wireless cellular communication is one of the largest markets in the world and it is still growing rapidly. Currently, the cellular communication system is moving toward high date rate transmission and high spectrum efficiency. An attractive approach is the CDMA technology. However, the capacity of a CDMA cellular system is limited by two phenomena, namely Multiuser Access Interference(MAI) and near- far problem. Lots of researches have been conducted to tackle these problems. Interference suppression techniques such as adaptive antenna arrays and multiuser detection (MUD) have been investigated to overcome such problems. Adaptive antenna array has a spatial filtering property, which makes it possible to receive signal from a particular direction while simultaneously blocking interferences from other direction. Thus, adaptive antenna array is a very promising solution to reduce MAI in the CDMA communication system. The research presented in this monograph is on the development of advanced receiver algorithms with antenna arrays for DS-CDMA communication system.

[1]  Joseph Saillard,et al.  Adaptive multisensor receiver for mobile communications , 1993 .

[2]  R. Michael Buehrer,et al.  Mobile Radio Communications , 2003 .

[3]  H. Vincent Poor,et al.  Iterative space-time processing for multiuser detection in multipath CDMA channels , 2002, IEEE Trans. Signal Process..

[4]  Scott L. Miller An adaptive direct-sequence code-division multiple-access receiver for multiuser interference rejection , 1995, IEEE Trans. Commun..

[5]  Chunru Wan,et al.  A Novel beamspace inter-bit correlation 2D Rake Receiver for DS-CDMA Communication System , 2006, 2006 IEEE 63rd Vehicular Technology Conference.

[6]  J. Treichler,et al.  A new approach to multipath correction of constant modulus signals , 1983 .

[7]  Yung-Fang Chen,et al.  Reduced-dimension blind space-time 2-D RAKE receivers for DS-CDMA communication systems , 2000, IEEE Trans. Signal Process..

[8]  J. Mayhan Adaptive nulling with multiple-beam antennas , 1976 .

[9]  S. Applebaum,et al.  Adaptive arrays with main beam constraints , 1976 .

[10]  Guanghan Xu,et al.  A subspace method for signature waveform estimation in synchronous CDMA systems , 1995 .

[11]  Kentaro Nishimori,et al.  Automatic calibration method using transmitting signals of an adaptive array for TDD systems , 2001, IEEE Trans. Veh. Technol..

[12]  Arogyaswami Paulraj,et al.  Performance of CDMA mobile communication systems using antenna arrays , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[13]  Branka Vucetic,et al.  Adaptive receiver structures for asynchronous CDMA systems , 1994, IEEE J. Sel. Areas Commun..

[14]  Ghassan Kawas Kaleh,et al.  Spatio-temporal blind adaptive multiuser detection , 2000, IEEE Trans. Commun..

[15]  Laurence B. Milstein,et al.  Coherent DS-CDMA performance in Nakagami multipath fading , 1995, IEEE Trans. Commun..

[16]  David D. Falconer,et al.  Tracking properties and steady-state performance of RLS adaptive filter algorithms , 1986, IEEE Trans. Acoust. Speech Signal Process..

[17]  William A. Gardner Comments on "Convergence analysis of LMS filters with uncorrelated data" , 1986, IEEE Trans. Acoust. Speech Signal Process..

[18]  J. Foley,et al.  A note on the convergence analysis of LMS adaptive filters with Gaussian data , 1988, IEEE Trans. Acoust. Speech Signal Process..

[19]  Rudi van Drunen,et al.  Wireless Networks , 2007, USENIX Annual Technical Conference.

[20]  Chunru Wan,et al.  A Blind Space-Time Constrained Minimum Output Energy Detector for DS-CDMA Communication System , 2007, IEEE Transactions on Vehicular Technology.

[21]  J. Mayhan Adaptive nulling with multiple-beam antennas , 1976 .

[22]  Markus Rupp,et al.  The behavior of LMS and NLMS algorithms in the presence of spherically invariant processes , 1993, IEEE Trans. Signal Process..

[23]  Hui Liu,et al.  Low complexity receivers for CDMA communications in frequency-selective channels , 1997, First IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications.

[24]  Chia-Chang Hu Space-time adaptive reduced-rank multistage receiver for asynchronous CDMA , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[25]  Sergio Verdú,et al.  Minimum probability of error for asynchronous Gaussian multiple-access channels , 1986, IEEE Trans. Inf. Theory.

[26]  Theodore S. Rappaport,et al.  Smart Antennas for Wireless Communications: Is-95 and Third Generation Cdma Applications , 1999 .

[27]  Barry D. Van Veen,et al.  Partially adaptive beamformer design subject to worst-case performance constraints , 1994, IEEE Trans. Signal Process..

[28]  Ehud Weinstein,et al.  Parameter estimation of superimposed signals using the EM algorithm , 1988, IEEE Trans. Acoust. Speech Signal Process..

[29]  Richard Brian Ertel Antenna Array Systems: Propagation and Performance , 1999 .

[30]  Thomas Kailath,et al.  ESPRIT-estimation of signal parameters via rotational invariance techniques , 1989, IEEE Trans. Acoust. Speech Signal Process..

[31]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .

[32]  F. Bryn Optimum Signal Processing of Three‐Dimensional Arrays Operating on Gaussian Signals and Noise , 1962 .

[33]  Asrar U. H. Sheikh,et al.  Decision feedback equalization for CDMA in indoor wireless communications , 1994, IEEE J. Sel. Areas Commun..

[34]  Stuart C. Schwartz,et al.  Integrated spatial-temporal detectors for asynchronous Gaussian multiple-access channels , 1995, IEEE Trans. Commun..

[35]  Chris Guy,et al.  Blind Multi-user Recursive Constant Modulus Detector for DS/CDMA , 2003 .

[36]  C. Jim A comparison of two LMS constrained optimal array structures , 1977, Proceedings of the IEEE.

[37]  Xiaodong Wang,et al.  Blind multiuser detection: from MOE to subspace methods , 2004, IEEE Transactions on Signal Processing.

[38]  M.K. Tsatsanis,et al.  Performance analysis of minimum variance CDMA receivers , 1998, IEEE Trans. Signal Process..

[39]  P. Fabre,et al.  Improvement of the fast recursive least-squares algorithms via normalization: A comparative study , 1986, IEEE Trans. Acoust. Speech Signal Process..

[40]  Xiaodong Wang Blind Multiuser Detection , 2003 .

[41]  Lei Huang,et al.  Space-time blind multiuser detection for multirate DS/CDMA signals , 2004, IEEE Trans. Veh. Technol..

[42]  H. Vincent Poor,et al.  Blind Multiuser Detection: A Subspace Approach , 1998, IEEE Trans. Inf. Theory.

[43]  Khaled Ben Letaief,et al.  Space-frequency filtering for multicarrier CDMA systems , 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

[44]  J. Capon High-resolution frequency-wavenumber spectrum analysis , 1969 .

[45]  J. Mayhan,et al.  Spatial spectral estimation using multiple beam antennas , 1987 .

[46]  J. H. Winters,et al.  Spatial-temporal equalization for IS-136 TDMA systems with rapid dispersive fading and cochannel interference , 1999 .

[47]  Sumit Roy,et al.  An adaptive multiuser receiver for CDMA systems , 1994, IEEE J. Sel. Areas Commun..

[48]  Michail K. Tsatsanis Inverse filtering criteria for CDMA systems , 1997, IEEE Trans. Signal Process..

[49]  Lajos Hanzo Single- and Multi-Carrier DS-CDMA: Multi-User Detection, Space-Time Spreading, Synchronisation, Networking and Standards , 2003 .

[50]  B. G. Agee,et al.  The least-squares CMA: A new technique for rapid correction of constant modulus signals , 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[51]  Sanzheng Qiao,et al.  Fast adaptive RLS algorithms: a generalized inverse approach and analysis , 1991, IEEE Trans. Signal Process..

[52]  Paul Walter Baier A critical review of CDMA , 1996, Proceedings of Vehicular Technology Conference - VTC.

[53]  P. Howells,et al.  Explorations in fixed and adaptive resolution at GE and SURC , 1976 .

[54]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[55]  Khaled Ben Letaief,et al.  A low complexity reduced-rank MMSE receiver for DS/CDMA communications , 2003, IEEE Trans. Wirel. Commun..

[56]  J. Ramos,et al.  Blind adaptive beamforming for CDMA based PCS/cellular , 1995, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.

[57]  Bo Wahlberg,et al.  An adaptive array for mobile communication systems , 1991 .

[58]  Kemin Li,et al.  Low complexity receivers for CDMA communications over frequency-selective channels , 1996, Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers.

[59]  Barry D. Van Veen,et al.  Partially adaptive beamformer design via output power minimization , 1987, IEEE Trans. Acoust. Speech Signal Process..

[60]  L. Tong,et al.  On blind decision feedback equalization , 1996, Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers.

[61]  C. Papadias,et al.  Decision-feedback equalization and identification of linear channels using blind algorithms of the Bussgang type , 1995, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.

[62]  Ilan Ziskind,et al.  Maximum likelihood localization of multiple sources by alternating projection , 1988, IEEE Trans. Acoust. Speech Signal Process..

[63]  A. Viterbi CDMA: Principles of Spread Spectrum Communication , 1995 .

[64]  Aarnout Brombacher,et al.  Probability... , 2009, Qual. Reliab. Eng. Int..

[65]  Ehud Weinstein,et al.  Convergence analysis of LMS filters with uncorrelated Gaussian data , 1985, IEEE Trans. Acoust. Speech Signal Process..

[66]  Michael D. Zoltowski,et al.  A Linear Receiver for Direct-Sequence Spread-Spectrum Multiple-Access Systems with Antenna Arrays and Blind Adaptation , 1998, IEEE Trans. Inf. Theory.

[67]  Arogyaswami Paulraj,et al.  Space-time processing for wireless communications , 1997 .

[68]  Khaled Ben Letaief,et al.  MIMO CDMA antenna system for SINR enhancement , 2003, IEEE Trans. Wirel. Commun..

[69]  M.D. Zoltowski,et al.  Space-time optimal combination for DS-SS. The 2D RAKE receiver , 1998, 1988 IEEE 5th International Symposium on Spread Spectrum Techniques and Applications - Proceedings. Spread Technology to Africa (Cat. No.98TH8333).

[70]  A.J. Paulraj,et al.  Space-time processing for wireless communications , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[71]  Zhi Ding,et al.  Blind adaptation of decision feedback equalizers based on the constant modulus algorithm , 1995, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.

[72]  Bernard Widrow,et al.  A comparison of adaptive algorithms based on the methods of steepest descent and random search , 1976 .

[73]  Xiaodong Wang,et al.  Nonlinear group-blind multiuser detection , 2001, IEEE Trans. Commun..

[74]  Seungwon Choi,et al.  Design of an adaptive antenna array for tracking the source of maximum power and its application to CDMA mobile communications , 1997 .

[75]  M. Zoltowski,et al.  Reduced complexity blind 2D RAKE receiver for CDMA , 1996, Proceedings of 8th Workshop on Statistical Signal and Array Processing.

[76]  Sumit Roy Subspace blind adaptive detection for multiuser CDMA , 2000, IEEE Trans. Commun..

[77]  Marvin K. Simon,et al.  Spread Spectrum Communications Handbook , 1994 .

[78]  Xiaodong Wang,et al.  Adaptive group-blind multiuser detection based on a new subspace tracking algorithm , 2001, IEEE Trans. Commun..

[79]  Richard D. Gitlin,et al.  The impact of antenna diversity on the capacity of wireless communication systems , 1994, IEEE Trans. Commun..

[80]  V. Anderson DICANNE, a Realizable Adaptive Process , 1969 .

[81]  J. H. Winters,et al.  Effect of fading correlation on adaptive arrays in digital mobile radio , 1994 .

[82]  B. Carlson Covariance matrix estimation errors and diagonal loading in adaptive arrays , 1988 .

[83]  Jinho Choi,et al.  A novel adaptive beamforming algorithm for antenna array CDMA systems with strong interferers , 2002, IEEE Trans. Veh. Technol..

[84]  Jack Salz,et al.  Optimum diversity combining and equalization in digital data transmission with applications to cellular mobile radio. I. Theoretical considerations , 1992, IEEE Trans. Commun..

[85]  John Litva,et al.  Digital beamforming in wireless communications , 1996 .

[86]  L.E. Brennan,et al.  Theory of Adaptive Radar , 1973, IEEE Transactions on Aerospace and Electronic Systems.

[87]  Jiann-An Tsai,et al.  Combined Space-Time Diversity and Interference Cancellation for MIMO Wireless Systems , 2002 .

[88]  Sailes K. Sengijpta Fundamentals of Statistical Signal Processing: Estimation Theory , 1995 .

[89]  Neil J. Bershad,et al.  Analysis of the normalized LMS algorithm with Gaussian inputs , 1986, IEEE Trans. Acoust. Speech Signal Process..

[90]  S. Verdu,et al.  Blind adaptive interference suppression for near-par resistant CDMA , 1994, 1994 IEEE GLOBECOM. Communications: The Global Bridge.

[91]  Chunru Wan,et al.  A novel blind space-time multiuser detector for DS-CDMA system , 2006, IEEE Communications Letters.

[92]  J. Makhoul,et al.  Linear prediction: A tutorial review , 1975, Proceedings of the IEEE.

[93]  John G. Proakis,et al.  Digital Communications , 1983 .

[94]  Eric M. Dowling,et al.  The constrained MUSIC problem , 1993, IEEE Trans. Signal Process..

[95]  Bernard Widrow,et al.  Signal cancellation phenomena in adaptive antennas: Causes and cures , 1982 .

[96]  Upamanyu Madhow,et al.  MMSE interference suppression for direct-sequence spread-spectrum CDMA , 1994, IEEE Trans. Commun..

[97]  Antonio Cantoni,et al.  Application of orthogonal perturbation sequences to adaptive beamforming , 1980 .

[98]  L. Godara Application of antenna arrays to mobile communications. II. Beam-forming and direction-of-arrival considerations , 1997, Proc. IEEE.

[99]  B. Widrow,et al.  Adaptive antenna systems , 1967 .

[100]  M. Honig,et al.  Adaptive techniques for multiuser CDMA receivers , 2000, IEEE Signal Processing Magazine.

[101]  M. Barrett,et al.  Adaptive antennas for mobile communications , 1994 .

[102]  Urbashi Mitra,et al.  Analysis of an adaptive decorrelating detector for synchronous CDMA channels , 1993, IEEE Trans. Commun..

[103]  Sergio Verdú,et al.  Linear multiuser detectors for synchronous code-division multiple-access channels , 1989, IEEE Trans. Inf. Theory.

[104]  Babak Hossein Khalaj,et al.  2D RAKE receivers for CDMA cellular systems , 1994, 1994 IEEE GLOBECOM. Communications: The Global Bridge.

[105]  Louis L. Scharf,et al.  A Multistage Representation of the Wiener Filter Based on Orthogonal Projections , 1998, IEEE Trans. Inf. Theory.

[106]  S. Applebaum,et al.  Adaptive arrays , 1976 .

[107]  Gerhard Fettweis,et al.  Reduced dimension space-time processing for multi-antenna wireless systems , 2002, IEEE Wirel. Commun..

[108]  Thomas Kailath,et al.  Capacity improvement with base-station antenna arrays in cellular CDMA , 1994 .

[109]  Antonio Cantoni,et al.  Performance of a postbeamformer interference canceller in the presence of broadband directional signals , 1984 .

[110]  S. H. Tseng Optimum diversity combining and equalization over interference-limited cellular radio channel , 1998 .

[111]  Hui Liu,et al.  Blind equalization in antenna array CDMA systems , 1997, IEEE Trans. Signal Process..

[112]  R. Nitzberg Application of the Normalized LMS Algorithm to MSLC , 1985, IEEE Transactions on Aerospace and Electronic Systems.

[113]  Sergio Verdu SYMBOL-ASYNCHRONOUS GAUSSIAN MULTIPLE ACCESS CHANNELS. , 1986 .

[114]  Ayman Fawzy Naguib,et al.  Adaptive antennas for CDMA wireless networks , 1996 .

[115]  B. Widrow,et al.  Adaptive noise cancelling: Principles and applications , 1975 .

[116]  H. Vincent Poor Adaptive Interference Suppression for Wireless Multiple-Access Communication Systems , 2002 .

[117]  Behnaam Aazhang,et al.  Subspace-based channel estimation for code division multiple access communication systems , 1996, IEEE Trans. Commun..

[118]  J. D. Parsons,et al.  Characterisation of mobile radio signals: model description , 1991 .

[119]  T. Kailath,et al.  Numerically stable fast transversal filters for recursive least squares adaptive filtering , 1991, IEEE Trans. Signal Process..

[120]  Ning Ma,et al.  Efficient method to determine diagonal loading value , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[121]  Arthur Jay Barabell,et al.  Improving the resolution performance of eigenstructure-based direction-finding algorithms , 1983, ICASSP.

[122]  E. Brookner,et al.  Adaptive-adaptive array processing , 1986, Proceedings of the IEEE.

[123]  D. Godard,et al.  Self-Recovering Equalization and Carrier Tracking in Two-Dimensional Data Communication Systems , 1980, IEEE Trans. Commun..

[124]  P. Rudnick,et al.  Rejection of a Coherent Arrival at an Array , 1969 .

[125]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[126]  Sergios Theodoridis,et al.  Fast Newton transversal filters-a new class of adaptive estimation algorithms , 1991, IEEE Trans. Signal Process..

[127]  Ross D. Murch,et al.  CDMA pre-RAKE diversity system with base station transmit diversity , 2000, VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026).

[128]  Dimitris G. Manolakis,et al.  Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Filtering and Array Processing , 1999 .

[129]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[130]  Khaled Ben Letaief,et al.  Multiuser interference cancellation with a two-dimensional RAKE receiver for DS/CDMA communications , 2000, VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026).

[131]  Don H. Johnson,et al.  Array Signal Processing: Concepts and Techniques , 1993 .

[132]  P. Balaban,et al.  Optimum diversity combining and equalization in digital data transmission with applications to cellular mobile radio II. Numerical results , 1992, IEEE Trans. Commun..

[133]  Dirk T. M. Slock,et al.  On the convergence behavior of the LMS and the normalized LMS algorithms , 1993, IEEE Trans. Signal Process..

[134]  Carlos J. Escudero Blind Adaptive Interference Suppression for Direct-sequence Cdma , 2007 .

[135]  L. J. Griffiths,et al.  An alternative approach to linearly constrained adaptive beamforming , 1982 .

[136]  William C. Y. Lee,et al.  Mobile Cellular Telecommunications , 1995 .

[137]  Seungwon Choi,et al.  A novel adaptive beamforming algorithm for a smart antenna system in a CDMA mobile communication environment , 2000, IEEE Trans. Veh. Technol..

[138]  H. Vincent Poor,et al.  Space-time multiuser detection in multipath CDMA channels , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[139]  Suhas Diggavi,et al.  Characterization of fast fading vector channels for multi-antenna communication systems , 1994, Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers.

[140]  Chia-Chang Hu,et al.  Space-time adaptive reduced-rank multistage Wiener filtering for asynchronous DS-CDMA , 2004, IEEE Transactions on Signal Processing.

[141]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .

[142]  Jian Li,et al.  Maximum Likelihood Angle Estimation For Signals With Known Waveforms , 1991, Proceedings of the Seventh Workshop on Multidimensional Signal Processing.

[143]  L. C. Godara,et al.  Improved LMS algorithm for adaptive beamforming , 1990 .

[144]  B.D. Van Veen,et al.  Beamforming: a versatile approach to spatial filtering , 1988, IEEE ASSP Magazine.

[145]  Lajos Hanzo,et al.  Single- and Multi-Carrier DS-CDMA: Multi-USer Detection, Space-Time Spreading, Synchronisation, Standards and Networking , 2003 .

[146]  D.J. Goodman,et al.  Trends in cellular and cordless communications , 1991, IEEE Communications Magazine.

[147]  Victor Solo,et al.  The limiting behavior of LMS , 1989, IEEE Trans. Acoust. Speech Signal Process..

[148]  J. B. Foley,et al.  Stochastic convergence of the LMS algorithm in adaptive systems , 1987 .

[149]  H. Vincent Poor,et al.  Blind equalization and multiuser detection in dispersive CDMA channels , 1998, IEEE Trans. Commun..

[150]  Chunru Wan,et al.  Use KLT in reduced-dimension space-time 2D rake receivers for DS-CDMA communication system , 2003, Fourth International Conference on Information, Communications and Signal Processing, 2003 and the Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint.

[151]  Christopher Brunner,et al.  Merging Diversity and Beamforming Perceptions in Spatial Signal Processing , 2001 .

[152]  Fathi M. Salem,et al.  Blind information-theoretic multiuser detection algorithms for DS-CDMA and WCDMA downlink systems , 2005, IEEE Transactions on Neural Networks.

[153]  Michael T. Chryssomallis,et al.  Smart antennas , 2000 .

[154]  Anmin Kong,et al.  A comparative study of DOA estimation using vector/gradient sensors , 2006, OCEANS 2006 - Asia Pacific.

[155]  Thomas Gebauer,et al.  Channel-Individual Adaptive Beamforming for Mobile Satellite Communications , 1995, IEEE J. Sel. Areas Commun..

[156]  I. Reed,et al.  Rapid Convergence Rate in Adaptive Arrays , 1974, IEEE Transactions on Aerospace and Electronic Systems.

[157]  T. Kailath,et al.  A subspace rotation approach to signal parameter estimation , 1986, Proceedings of the IEEE.

[158]  Shu Wang,et al.  Blind adaptive multiuser detection , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[159]  P. E. Green,et al.  A Communication Technique for Multipath Channels , 1958, Proceedings of the IRE.

[160]  D. Skinner,et al.  Maximum entropy array processing , 1977 .