Two-Stage blind deconvolution for V-BLAST OFDM system

Authors:
Feng Jiang;Liqing Zhang;Bin Xia
Affiliations:
Department of Computer Science and Engineering, Shanghai Jiao Tong University;Department of Computer Science and Engineering, Shanghai Jiao Tong University;Department of Computer Science and Engineering, Shanghai Jiao Tong University
Venue:
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Year:
2006

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Abstract

In this paper, we integrate orthogonal frequency-division multiplexing (OFDM) technique with vertical Bell Labs layered space-time (V-BLAST) architecture as a promising solution for enhancing the data rates of wireless communication systems, and propose a new blind deconvolution method. A two-stage algorithm is developed to estimate the channel parameters. At first stage, we propose an algorithm based on the second order statistics to decorrelate the sensor signals. After decorrelation, we apply instantaneous demixing algorithm to separate the signals at the second stage. Simulation results demonstrate the validity and the performance of the proposed algorithms.