DocumentCode
2171350
Title
Low complexity receiver design for MIMO bit-interleaved coded modulation
Author
Collings, Iain B. ; Butler, Michael R G ; McKay, Matthew R.
Author_Institution
Sydney Univ., NSW, Australia
fYear
2004
fDate
30 Aug.-2 Sept. 2004
Firstpage
12
Lastpage
16
Abstract
This paper considers multiple-input multiple-output (MIMO) systems with bit-interleaved coded modulation (BICM). Two receiver structures are considered, one based on zero-forcing, the other on minimum mean square error (MMSE). An approximate log-likelihood (ALL) decoding approach is examined in each case, for PSK and QAM. The resulting receivers are significantly lower complexity compared to the maximum likelihood (ML) receiver. We expand on previous results which showed that for the ZF-ALL receiver the performance gap, compared to ML, reduces when either the number of receive antennas or the modulation order is increased. We demonstrate that the ALL metric with BICM counteracts any noise enhancement from the linear receivers. We also show that the linear BICM schemes outperform the corresponding BLAST approaches.
Keywords
MIMO systems; interleaved codes; least mean squares methods; maximum likelihood decoding; modulation coding; phase shift keying; quadrature amplitude modulation; radio receivers; receiving antennas; ALL decoding; BICM; MIMO systems; MMSE; PSK; QAM; approximate log-likelihood decoding; bit-interleaved coded modulation; low complexity receiver design; minimum mean square error; modulation order; multiple-input multiple-output systems; receive antennas; receiver structures; zero-forcing; Interleaved codes; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Mean square error methods; Modulation coding; Phase shift keying; Quadrature amplitude modulation; Receiving antennas; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Spread Spectrum Techniques and Applications, 2004 IEEE Eighth International Symposium on
Print_ISBN
0-7803-8408-3
Type
conf
DOI
10.1109/ISSSTA.2004.1371654
Filename
1371654
Link To Document