Complexity-reduced iterative MAP receiver for interference suppression in OFDM-based spatial multiplexing systems

Seung Young Park; Chung Gu Kang

doi:10.1109/TVT.2004.832383

Complexity-reduced iterative MAP receiver for interference suppression in OFDM-based spatial multiplexing systems

Seung Young Park, Chung Gu Kang

Research output: Contribution to journal › Article › peer-review

26 Citations (Scopus)

Abstract

In this paper, we propose a reduced-complexity iterative algorithm for joint maximum a posteriori (MAP) detection and the cochannel interferences (CCIs) suppression in orthogonal frequency-division multiplex (OFDM)-based spatial multiplexing systems, also known as multiple-input-multiple-output systems. The receiver employs an iterative architecture in which each iteration stage consists of channel/covariance estimation for CCIs and MAP detection, which suppresses interference while detecting the data. The interference suppression is performed in the MAP detection by whitening the interferences through a combination of the estimated covariance with the conventional MAP detection metric. Moreover, a complexity-reduction scheme is proposed for implementing an iterative MAP receiver without incurring performance degradation. Extensive simulations have demonstrated that the proposed scheme dramatically improves the performance compared to that of an iterative MAP scheme without interference suppression. The receiver complexity is significantly reduced with negligible performance degradation. Furthermore, it also can effectively suppress not only synchronous CCIs, but also all kinds of asynchronous CCIs without any a priori information on the CCIs.

Original language	English
Pages (from-to)	1316-1326
Number of pages	11
Journal	IEEE Transactions on Vehicular Technology
Volume	53
Issue number	5
DOIs	https://doi.org/10.1109/TVT.2004.832383
Publication status	Published - 2004 Sept

Bibliographical note

Funding Information:
Manuscript received December 18, 2002; revised September 15, 2003, February 27, 2004, and April 6, 2004. This work was supported by the University IT Research Center Project, Korea. S. Y. Park is with the Samsung Advanced Institute of Technology, Suwon 440-600, Korea (e-mail: [email protected]). C. G. Kang is with the Department of Radio Communications Engineering and School of Electrical Engineering, Korea University, Seoul 136-701, Korea (e-mail: [email protected]). Digital Object Identifier 10.1109/TVT.2004.832383

ASJC Scopus subject areas

Automotive Engineering
Aerospace Engineering
Electrical and Electronic Engineering
Applied Mathematics

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abstract = "In this paper, we propose a reduced-complexity iterative algorithm for joint maximum a posteriori (MAP) detection and the cochannel interferences (CCIs) suppression in orthogonal frequency-division multiplex (OFDM)-based spatial multiplexing systems, also known as multiple-input-multiple-output systems. The receiver employs an iterative architecture in which each iteration stage consists of channel/covariance estimation for CCIs and MAP detection, which suppresses interference while detecting the data. The interference suppression is performed in the MAP detection by whitening the interferences through a combination of the estimated covariance with the conventional MAP detection metric. Moreover, a complexity-reduction scheme is proposed for implementing an iterative MAP receiver without incurring performance degradation. Extensive simulations have demonstrated that the proposed scheme dramatically improves the performance compared to that of an iterative MAP scheme without interference suppression. The receiver complexity is significantly reduced with negligible performance degradation. Furthermore, it also can effectively suppress not only synchronous CCIs, but also all kinds of asynchronous CCIs without any a priori information on the CCIs.",

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Complexity-reduced iterative MAP receiver for interference suppression in OFDM-based spatial multiplexing systems

Abstract

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