NDLI: A New Reduced-Complexity ML Joint Detection Algorithm Based Sphere Decoder for LS-CDMA System

Content Provider	IEEE Xplore Digital Library
Author	Rao Wenyuan Dai Liyun
Copyright Year	2006
Description	Author affiliation: Sch. of Electron. Sci., Jiangxi Univ. of Finance & Econ., Nanchang (Rao Wenyuan; Dai Liyun)
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
Starting Page	1
Ending Page	4
File Size	292916
Page Count	4
File Format	PDF
ISBN	1424405173
DOI	10.1109/WiCOM.2006.19
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-09-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Gaussian noise Lattices Detectors Rayleigh channels Additive white noise Digital communication MIMO Polynomials Detection algorithms Maximum likelihood decoding
Content Type	Text
Resource Type	Article

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