Low complexity soft decision equalization for block transmission systems

This paper addresses the problem of the soft decision equalization. We show the relation between the iterative soft decision interference cancellation (ISDIC) and probabilistic data association (PDA) multiuser detector (PDA-MUD). We prove that ISDIC is equivalent to PDA-MUD, and give the block-wise implementation of them. We also present a soft interference cancellation algorithm for the polynomial expansion linear detector. With its low complexity, simple implementations, and impressive performance offered by iterative soft-decision processing, it is an attractive candidate to deliver efficient reception solutions to practical wireless transmission systems. Simulation comparisons of the new method with ISDIC are presented under the frequency selective channels.

[1]  Stephan ten Brink,et al.  Achieving near-capacity on a multiple-antenna channel , 2003, IEEE Trans. Commun..

[2]  Xiaodong Wang,et al.  Low-complexity Turbo-equalization for diversity channels , 2001, Signal Process..

[3]  Andrew C. Singer,et al.  Minimum mean squared error equalization using a priori information , 2002, IEEE Trans. Signal Process..

[4]  G. Giannakis,et al.  Wireless Multicarrier Communications where Fourier Meets , 2022 .

[5]  S. Kay Fundamentals of statistical signal processing: estimation theory , 1993 .

[6]  J. Boutros,et al.  Iterative multiuser joint decoding: unified framework and asymptotic analysis , 2001, Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252).

[7]  Teng Joon Lim,et al.  Simplified polynomial-expansion linear detectors for DS-CDMA systems , 1998 .

[8]  F. Jondral,et al.  Rapidly converging polynomial expansion multiuser detector with low complexity for CDMA systems , 2002 .

[9]  H. Vincent Poor,et al.  Iterative (turbo) soft interference cancellation and decoding for coded CDMA , 1999, IEEE Trans. Commun..

[10]  Wolfgang H. Gerstacker,et al.  Matched-filter- and MMSE-based iterative equalization with soft feedback for QPSK transmission , 2002, 2002 International Zurich Seminar on Broadband Communications Access - Transmission - Networking (Cat. No.02TH8599).

[11]  Carl D. Meyer,et al.  Matrix Analysis and Applied Linear Algebra , 2000 .

[12]  Donald L. Schilling,et al.  Multistage linear receivers for DS-CDMA systems , 1996, Int. J. Wirel. Inf. Networks.

[13]  Krishna R. Pattipati,et al.  Near-optimal multiuser detection in synchronous CDMA using probabilistic data association , 2001, IEEE Communications Letters.

[14]  Gene H. Golub,et al.  Matrix computations (3rd ed.) , 1996 .

[15]  Georgios B. Giannakis,et al.  Wireless multicarrier communications , 2000, IEEE Signal Process. Mag..

[16]  T. Moon,et al.  Mathematical Methods and Algorithms for Signal Processing , 1999 .

[17]  Zhi Tian,et al.  Near-optimum soft decision equalization for frequency selective MIMO channels , 2004, IEEE Trans. Signal Process..

[18]  Xiaohu You,et al.  Space-time turbo detection and decoding for MIMO block transmission systems , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).