Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2006, Vol. 29 ›› Issue (6): 81-85.doi: 10.13190/jbupt.200606.81.245

• Papers • Previous Articles     Next Articles

A Multiuser Detection Algorithm Based on Unconstrained Optimization Approach

LIU Si-yang, LUO Zheng-dong, LIU Yuan-an, GAO Jing-chun   

  1. School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2005-11-30 Revised:1900-01-01 Online:2006-12-30 Published:2006-12-30
  • Contact: LIU Si-yang

Abstract:

A near maximum-likelihood (ML) multiuser detection algorithm based on unconstrained optimization approach is proposed for code-division multiple access (CDMA) systems. By employing the proposed algorithm, ML detection regarded as a combinatorial optimization problem, is transformed to an unconstrained optimization problem. The detected symbols are obtained by approximating the solution of the aforementioned unconstrained optimization problem. Simulation results show that the performance of the proposed algorithm is very close to that of the ML detection algorithm over both additive white Gaussian noise (AWGN)and time-varying multipath fading channels, meanwhile its computational complexity is comparable with that of the conventional linear detection algorithms, especially when the number of users is high.

Key words: code-division multiple access, multiuser detection, maximum-likelihooddetection, unconstrained optimization

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