DocumentCode
2739455
Title
Improved blind multiuser receiver employing genetic algorithms for CDMA systems with space-time block codes
Author
Du, Yinggang ; Chan, K.T.
Author_Institution
Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China
Volume
2
fYear
2003
fDate
14-17 Dec. 2003
Firstpage
1719
Abstract
An improved blind multiuser receiver employing the genetic algorithms (GA) for synchronous DS-CDMA systems with a space-time block coding (STBC) design in the Rayleigh flat-fading channels is proposed. The channel state information is blind to both the transmitter and the receiver. In the receiver only the spreading sequence for the desired user(s) and the timing are available. The proposed receiver has improved conventional Capon receiver. The roughly estimated signal acts as the seed chromosome of the initial population of the GA. Perturbing the seed chromosome randomly, the initial population is generated and leads to the following GA recombination operations. The simulation results show that the proposed GA converges quickly and performs well with a little more additional computational complexity for the GA operations is fairly small compared with the channel and signal estimation.
Keywords
Rayleigh channels; blind source separation; block codes; channel coding; channel estimation; code division multiple access; computational complexity; genetic algorithms; multiuser channels; multiuser detection; radio receivers; space-time codes; spread spectrum communication; Capon receiver; DS-CDMA systems; Rayleigh flat fading channels; blind multiuser receiver; channel estimation; channel state information; computational complexity; direct sequence code division multiple access systems; genetic algorithms; seed chromosome; signal estimation; space time block coding; Algorithm design and analysis; Biological cells; Block codes; Channel state information; Computational modeling; Genetic algorithms; Multiaccess communication; Signal generators; Timing; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location
Nanjing
Print_ISBN
0-7803-7702-8
Type
conf
DOI
10.1109/ICNNSP.2003.1281217
Filename
1281217
Link To Document