A NOVEL BLIND ADAPTIVE RECEIVER FOR MIMO-OFDM SYSTEMS

被引：0

作者：

Balasingam, Balakumar ^{[1
]}

Bolic, Miodrag ^{[1
]}

机构：

[1] Univ Ottawa, Sch Informat Technol & Engn, Ottawa, ON K1N 6N5, Canada

来源：

2009 IEEE/SP 15TH WORKSHOP ON STATISTICAL SIGNAL PROCESSING, VOLS 1 AND 2 | 2009年

关键词：

MIMO-OFDM systems; Kalman filter; Marginalized particle filters; Sequential Monte-Carlo methods; OSTBC; CHANNEL ESTIMATION;

D O I：

10.1109/SSP.2009.5278527

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper a novel blind adaptive decoding algorithm based on marginalized particle filter (MPF) method is developed for multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) communication systems. Blind channel detection requires all the sub-carriers to be considered together for better performance. This results in prohibitive computational requirements in developing an adaptive blind receiver for MIMO-OFDM systems based on the MPF algorithm. Based on a recently reported approximate blind adaptive MIMO receivers and exploiting the properties of discrete Fourier transform (DFT) we have developed a blind adaptive MIMO-OFDM receiver with affordable computational requirement. Simulation examples and an analysis of computational complexity is provided to show the effectiveness of the proposed approach.

引用

页码：505 / 508

页数：4

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