Efficient Soft-Output Generation Method for Spatially Multiplexed MIMO Systems

A simple detector named QR-LRL for MIMO systems was proposed in [7] and it was shown that QR-LRL approached the hard-output ML performance. However, its soft-output performance is not capable of approaching the near ML performance. In this letter, we propose a novel detection method which can genera...

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Veröffentlicht in:IEICE Transactions on Communications 2009/11/01, Vol.E92.B(11), pp.3512-3515
Hauptverfasser: KIM, Junghyun, PARK, Youn-Ok, BAHNG, Seungjae
Format: Artikel
Sprache:eng
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Zusammenfassung:A simple detector named QR-LRL for MIMO systems was proposed in [7] and it was shown that QR-LRL approached the hard-output ML performance. However, its soft-output performance is not capable of approaching the near ML performance. In this letter, we propose a novel detection method which can generate reliable soft-outputs while avoiding the empty vector set problem. The proposed detector efficiently uses the upper triangular structure in QR decomposition. Simulation results show that the proposed detector can approach the near soft-output ML performance as well as hard-output with feasible complexity.
ISSN:0916-8516
1745-1345
1745-1345
DOI:10.1587/transcom.E92.B.3512