DocumentCode
1161092
Title
Joint receive antenna selection and symbol detection for MIMO systems: a heterogeneous genetic approach
Author
Lu, Hoang-Yang ; Fang, Wen-Hsien
Author_Institution
Dept. of Electr. Eng., Nat. Ocean Univ., Keelung
Volume
13
Issue
2
fYear
2009
fDate
2/1/2009 12:00:00 AM
Firstpage
97
Lastpage
99
Abstract
This letter presents a joint scheme of receive antenna selection and symbol detection for multiple-input,multiple output (MIMO) systems based on the maximum likelihood (ML) criterion. To mitigate the computational complexity, a novel variant of the genetic algorithm (GA) is addressed to solve the nonlinear optimization involved, where a new heterogenous crossover and a new heterogenous mutation are conducted in the chromosome evolution process. Furnished simulations show that the new approach provides superior performance with substantially lower computational load compared with previous works in both correlated and uncorrelated channels.
Keywords
MIMO communication; antenna arrays; array signal processing; genetic algorithms; maximum likelihood estimation; receiving antennas; signal detection; MIMO system; chromosome evolution process; computational complexity; genetic approach; joint receive antenna selection method; maximum likelihood criterion; multiple antennas; multiple-input multiple output systems; nonlinear optimization; symbol detection; Antenna theory; Biological cells; Computational complexity; Computational modeling; Genetic algorithms; Genetic mutations; MIMO; Maximum likelihood detection; Receiving antennas; Transmitting antennas; Symbol detection, genetic algorithm, antenna selection, heterogenous crossover/mutation, MIMO;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2009.081036
Filename
4783770
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