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A robust LU polynomial matrix decomposition for spatial multiplexing
- Source :
- EURASIP Journal on Advances in Signal Processing, Vol 2020, Iss 1, Pp 1-17 (2020)
- Publication Year :
- 2020
- Publisher :
- SpringerOpen, 2020.
-
Abstract
- Abstract 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.
Details
- Language :
- English
- ISSN :
- 16876180
- Volume :
- 2020
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- EURASIP Journal on Advances in Signal Processing
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.1da5bfe2611e4604ad2f3c9815366aba
- Document Type :
- article
- Full Text :
- https://doi.org/10.1186/s13634-020-00705-3