DocumentCode :
2305195
Title :
A New Reduced-Complexity ML Joint Detection Algorithm Based Sphere Decoder for LS-CDMA System
Author :
Wenyuan, Rao ; Liyun, Dai
Author_Institution :
Sch. of Electron. Sci., Jiangxi Univ. of Finance & Econ., Nanchang
fYear :
2006
fDate :
22-24 Sept. 2006
Firstpage :
1
Lastpage :
4
Abstract :
A new reduced-complexity joint detection algorithm based on sphere decoder for LS-CDMA system is proposed in this paper. This algorithm can approach ML performance in polynomial complexity. Special zero correlation window property of LS code can reduce complexity of this algorithm greatly. Simulation indicates it is more insensitive to the choice of initial radius. Thus, by making the choice of radius sufficiently large, the ML solution is guaranteed with low complexity, even for large constellations. We then extend this joint detection algorithm to MIMO case and compare it with MMSE, ZF multicode detectors. Numerical results show performance of this algorithm is good even at very high speed such as 160 Km/h, this give us some insights on developing high efficient practical joint detection algorithm for further LS-CDMA system
Keywords :
MIMO communication; code division multiple access; maximum likelihood decoding; maximum likelihood detection; LS-CDMA system; MIMO; ZF multicode detectors; reduced-complexity ML joint detection algorithm; sphere decoder; zero correlation window; Additive white noise; Detection algorithms; Detectors; Digital communication; Gaussian noise; Lattices; MIMO; Maximum likelihood decoding; Polynomials; Rayleigh channels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2006. WiCOM 2006.International Conference on
Conference_Location :
Wuhan
Print_ISBN :
1-4244-0517-3
Type :
conf
DOI :
10.1109/WiCOM.2006.19
Filename :
4149196
Link To Document :
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