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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/4647

Title: A MIMO Turbo Equalizer for Frequency Selective Channels With Unknown Interference
Authors: Abe, Tetsushi
Tomisato, Shigeru
Matsumoto, Tadashi
Keywords: Multiple-input-multiple-output (MIMO) system
space-time signal processing
turbo equalization
Issue Date: 2003-05
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Magazine name: IEEE Transactions on Vehicular Technology
Volume: 52
Number: 3
Start page: 476
End page: 482
DOI: 10.1109/TVT.2003.811615
Abstract: A new space-time turbo equalization algorithm is derived for frequency-selective multiple-input-multiple-output (MIMO) channels with unknown interference. The algorithm is an extension of our proposed MIMO equalization algorithm, which performs joint channel estimation, multiple users' signal detection, and decoding, all in an iterative manner. This paper's proposed algorithm uses estimates of the correlation matrix of composite unknown interference-plus-noise components to suppress the unknown interference while effectively separating multiple users' signals to be detected (referred to as "known user" later). The correlation matrix of the composite unknown interference-plus-noise components can be estimated by time averaging the instantaneous empirical correlation matrix over the training period. Since the iterative channel estimation yields better channel estimates as more iterations are performed, thereby the estimate of the correlation matrix of the unknown interference-plus-noise components also becomes more accurate. This results in better signal detection performances, even in the presence of unknown interferers. A series of computer simulations show that this paper's proposed algorithm can properly separate known users' signals while suppressing unknown interference.
Rights: Copyright (c)2003 IEEE. Reprinted from IEEE Transactions on Vehicular Technology , 52(3), 2003, 476-482. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of JAIST's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
URI: http://hdl.handle.net/10119/4647
Material Type: publisher
Appears in Collections:b10-1. 雑誌掲載論文 (Journal Articles)

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