文章基本信息

标题：A robust LU polynomial matrix decomposition for spatial multiplexing
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作者：Moustapha Mbaye ; Moussa Diallo ; Mamadou Mboup 等
期刊名称：EURASIP Journal on Advances in Signal Processing
印刷版ISSN：1687-6172
电子版ISSN：1687-6180
出版年度：2020
卷号：2020
期号：1
页码：1-17
DOI：10.1186/s13634-020-00705-3
出版社：Hindawi Publishing Corporation
摘要：This paper considers time-domain spatial multiplexing in MIMO wideband system, using an LU-based polynomial matrix decomposition. Because the corresponding pre- and post-filters are not paraunitary, the noise output power is amplified and the performance of the system is degraded, compared to QR-based spatial multiplexing approach. Degradations are important as the post-filter polynomial matrix is ill-conditioned. In this paper, we introduce simple transformations on the decomposition that solve the ill-conditioning problem. We show that this results in a MIMO spatial multiplexing scheme that is robust to noise and channel estimation errors. In the latter context, the proposed LU-based beamforming compares favorably to the QR-based counterpart in terms of complexity and bit error rate.
关键词：Polynomial matrix decomposition ; LU decomposition ; Beamforming ; MIMO wideband system ; Time-domain spatial multiplexing