A new family of soft equalizers in broadband wireless MIMO systems

We consider the problem of channel equalization in broadband wireless multiple-input multiple-output (MIMO) systems over frequency-selective fading channels, based on the sequential Monte Carlo (SMC) sampling techniques for Bayesian inference. Built on the technique of importance sampling, the stochastic sampler generates weighted random MIMO symbol samples; whereas the deterministic sampler, a heuristic modification of the stochastic counterpart, recursively performs exploration and selection steps in a greedy manner in both space and time domains. Such a space-time sampling scheme is very effective in combating both intersymbol interference and cochannel interference caused by frequency-selective channel and multiple transmit and receiver antennas. Finally, computer simulation results are provided to demonstrate that the proposed sampling-based MIMO equalizers significantly outperform the decision-feedback MIMO equalizers with comparable computational complexity.

[1]  Simon J. Godsill,et al.  On sequential Monte Carlo sampling methods for Bayesian filtering , 2000, Stat. Comput..

[2]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[3]  Vivek Gulati,et al.  Iterative equalization/decoding of LDPC code transmitted over MIMO fading ISI channels , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[4]  Angel E. Lozano,et al.  Layered space-time receivers for frequency-selective wireless channels , 2002, IEEE Trans. Commun..

[5]  Rong Chen,et al.  Monte Carlo Bayesian Signal Processing for Wireless Communications , 2002, J. VLSI Signal Process..

[6]  Petre Stoica,et al.  Generalized linear precoder and decoder design for MIMO channels using the weighted MMSE criterion , 2001, IEEE Trans. Commun..

[7]  Reinaldo A. Valenzuela,et al.  V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel , 1998, 1998 URSI International Symposium on Signals, Systems, and Electronics. Conference Proceedings (Cat. No.98EX167).

[8]  Gerard J. Foschini,et al.  Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas , 1996, Bell Labs Technical Journal.

[9]  Babak Hassibi,et al.  Maximum-Likelihood Sequence Detection of Multiple Antenna Systems over Dispersive Channels via Sphere Decoding , 2002, EURASIP J. Adv. Signal Process..