DocumentCode :
2694372
Title :
Low-Complexity and Full-Diversity MIMO Detection Based on Condition Number Thresholding
Author :
Maurer, Johannes ; Matz, Gerald ; Seethaler, D.
Author_Institution :
Inst. of Commun. & Radio-Frequency Eng., Vienna Univ. of Technol., Austria
Volume :
3
fYear :
2007
fDate :
15-20 April 2007
Abstract :
In this paper, we consider MIMO spatial multiplexing systems and elaborate the impact of the channel condition number on the performance of ML and ZF detection. In particular, we show that for channels with bounded condition number ZF detection achieves the same diversity as ML detection. Motivated by this, we propose a novel threshold receiver that uses simple ZF detection for well-conditioned channels and ML detection for poorly conditioned channels. We show that this receiver achieves full diversity and we provide an upper bound on its SNR gap to ML detection. We further investigate cost-reduced versions of the threshold receiver and examine their performance in terms of simulation results.
Keywords :
MIMO communication; maximum likelihood detection; multiplexing; MIMO spatial multiplexing systems; ML detection; SNR gap; ZF detection; channel condition number thresholding; full-diversity MIMO detection; low-complexity MIMO detection; threshold receiver; Computational complexity; Detection algorithms; Detectors; Diversity methods; Error probability; Europe; MIMO; Maximum likelihood detection; Radio frequency; Receiving antennas; MIMO Systems; data detection; diversity; spatial multiplexing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
ISSN :
1520-6149
Print_ISBN :
1-4244-0727-3
Type :
conf
DOI :
10.1109/ICASSP.2007.366472
Filename :
4217646
Link To Document :
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