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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/4633

Title: A PDF Estimation-Based Iterative MIMO Signal Detection With Unknown Interference
Authors: Veselinovic, Nenad
Matsumoto, Tadashi
Juntti, Markku
Keywords: estimation
cochannel interference
equalization
multiple input multiple output (MIMO)
minimum mean squared error (MMSE)
probability density function (PDF) estimation
turbo multiuser detection
Issue Date: 2004-07
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Magazine name: IEEE Communications Letters
Volume: 8
Number: 7
Start page: 422
End page: 424
DOI: 10.1109/LCOMM.2004.832731
Abstract: The equivalent diversity order of iterative minimum mean squared error (MMSE) multiuser detectors for multiple input multiple output (MIMO) channels is decreased if they aim at suppressing unknown cochannel interference (UCCI) while detecting multiple users' signals. In this letter, we propose a new MIMO signal detection scheme with the aim to preserve the detector's diversity order by estimating the probability density function of the UCCI plus background noise. It is shown that the proposed detector significantly outperforms the conventional detector based on UCCI's covariance matrix estimation.
Rights: Copyright (c)2004 IEEE. Reprinted from IEEE Communications Letters , 8(7), 2004, 422-424. 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/10119/4633
Material Type: publisher
Appears in Collections:b10-1. 雑誌掲載論文 (Journal Articles)

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