Truncation for Low-Complexity MIMO Signal Detection

Author

Wen Jiang ; Ye Li ; Xingxing Yu

Author_Institution

Sch. of Math., Georgia Inst. of Technol., Atlanta, GA

Volume

53

Issue

4

fYear

2007

fDate

4/1/2007 12:00:00 AM

Firstpage

1564

Lastpage

1571

Abstract

Joint maximum-likelihood (JML) detector may be used in memoryless multiple-input multiple-output (MIMO) systems to obtain optimal detection performance. However, JML detector performs an exhaustive search and has prohibitively large decoding complexity. To reduce the complexity of MIMO signal detection, minimum mean-square-error (mmse) linear detector (LD), decision-feedback detector (DFD), group detector, and sphere detector (SD) may be used. In this correspondence, we propose a truncation based detector for low-complexity MIMO signal detection, and give theoretical insight into the design and performance of such a detector. We study bitruncation in detail and present two bitruncation approaches. These approaches have low-complexity, and computer simulation results show that they outperform mmse-LD and mmse-DFD

Keywords

MIMO communication; least mean squares methods; maximum likelihood decoding; maximum likelihood detection; signal detection; DFD; JML; MMSE; decision-feedback detector; decoding complexity; group detector; joint maximum-likelihood detector; linear detector; low-complexity MIMO signal detection; memoryless multiple-input multiple-output system; minimum mean-square-error; sphere detector; truncation based detector; Computer simulation; Design for disassembly; Detectors; Error probability; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Signal design; Signal detection; Viterbi algorithm; Bitruncation; Viterbi algorithm; channel truncation; multiple-input multiple-output (MIMO) signal detection;

fLanguage

English

Journal_Title

Information Theory, IEEE Transactions on

Publisher

ieee

ISSN

0018-9448

Type

jour

DOI

10.1109/TIT.2007.892785

Filename

4137887