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
fDate :
2/1/2009 12:00:00 AM
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;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2009.081036