Second-order statistics based prefilter-blind equalization for MIMO-OFDM

Kuan Ling Kuo; Tsan Wen Chen; Carrson C. Fung; Chen-Yi Lee

Second-order statistics based prefilter-blind equalization for MIMO-OFDM

Kuan Ling Kuo^*, Tsan Wen Chen, Carrson C. Fung, Chen-Yi Lee

^*Corresponding author for this work

Department of Electronics Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

In this paper, a SOS-based prefilter-blind equalizer for MIMO-OFDM system which can equalize FIR-MIMO channel at the receiver is proposed. The proposed scheme uses a set of orthogonal prefilters at the transmitter such that the transmitted signal can be colored temporally thereby satisfying the identiflability condition previously proposed by Hua and Tugnait. The scheme is shown to outperform previously proposed schemes in terms of BER and computational complexity. Simulation results have shown that the BER performance is close to that of a least-squares zero-forcing equalizer with perfect channel knowledge. copyright

Original language	English
Title of host publication	2008 14th Asia-Pacific Conference on Communications, APCC 2008
State	Published - 1 Dec 2008
Event	2008 14th Asia-Pacific Conference on Communications, APCC 2008 - Akihabara, Tokyo, United States Duration: 14 Oct 2008 → 16 Oct 2008

Publication series

Name	2008 14th Asia-Pacific Conference on Communications, APCC 2008

Conference

Conference	2008 14th Asia-Pacific Conference on Communications, APCC 2008
Country	United States
City	Akihabara, Tokyo
Period	14/10/08 → 16/10/08

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Kuo, K. L., Chen, T. W., Fung, C. C., & Lee, C-Y. (2008). Second-order statistics based prefilter-blind equalization for MIMO-OFDM. In 2008 14th Asia-Pacific Conference on Communications, APCC 2008 [4773802] (2008 14th Asia-Pacific Conference on Communications, APCC 2008).

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title = "Second-order statistics based prefilter-blind equalization for MIMO-OFDM",

abstract = "In this paper, a SOS-based prefilter-blind equalizer for MIMO-OFDM system which can equalize FIR-MIMO channel at the receiver is proposed. The proposed scheme uses a set of orthogonal prefilters at the transmitter such that the transmitted signal can be colored temporally thereby satisfying the identiflability condition previously proposed by Hua and Tugnait. The scheme is shown to outperform previously proposed schemes in terms of BER and computational complexity. Simulation results have shown that the BER performance is close to that of a least-squares zero-forcing equalizer with perfect channel knowledge. copyright",

author = "Kuo, {Kuan Ling} and Chen, {Tsan Wen} and Fung, {Carrson C.} and Chen-Yi Lee",

year = "2008",

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Second-order statistics based prefilter-blind equalization for MIMO-OFDM. / Kuo, Kuan Ling; Chen, Tsan Wen; Fung, Carrson C.; Lee, Chen-Yi.

2008 14th Asia-Pacific Conference on Communications, APCC 2008. 2008. 4773802 (2008 14th Asia-Pacific Conference on Communications, APCC 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - In this paper, a SOS-based prefilter-blind equalizer for MIMO-OFDM system which can equalize FIR-MIMO channel at the receiver is proposed. The proposed scheme uses a set of orthogonal prefilters at the transmitter such that the transmitted signal can be colored temporally thereby satisfying the identiflability condition previously proposed by Hua and Tugnait. The scheme is shown to outperform previously proposed schemes in terms of BER and computational complexity. Simulation results have shown that the BER performance is close to that of a least-squares zero-forcing equalizer with perfect channel knowledge. copyright

AB - In this paper, a SOS-based prefilter-blind equalizer for MIMO-OFDM system which can equalize FIR-MIMO channel at the receiver is proposed. The proposed scheme uses a set of orthogonal prefilters at the transmitter such that the transmitted signal can be colored temporally thereby satisfying the identiflability condition previously proposed by Hua and Tugnait. The scheme is shown to outperform previously proposed schemes in terms of BER and computational complexity. Simulation results have shown that the BER performance is close to that of a least-squares zero-forcing equalizer with perfect channel knowledge. copyright

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