A robust LU polynomial matrix decomposition for spatial multiplexing

EURASIP Journal on Advances in Signal Processing

Moussa Diallo¹  Moustapha Mbaye¹  Mamadou Mboup² 

[1] Université Cheikh Anta Diop, BP 5005, Dakar Fann, Sénégal;Université de Reims Champagne Ardenne, CReSTIC EA 3804, 51687, Reims, France;

关键词: Polynomial matrix decomposition;    LU decomposition;    Beamforming;    MIMO wideband system;    Time-domain spatial multiplexing;   

DOI  :  10.1186/s13634-020-00705-3

来源: Springer

【 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.

【 授权许可】

CC BY