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基于自适应集中性和多样性搜索策略的多用户检测方法
引用本文:温万惠,刘光远,贺一.基于自适应集中性和多样性搜索策略的多用户检测方法[J].计算机科学,2005,32(3):44-46.
作者姓名:温万惠  刘光远  贺一
作者单位:1. 西南师范大学电子信息工程学院,重庆,400715
2. 重庆师范大学现代信息管理系,重庆,400047
基金项目:教育部科学技术研究重点项目(104262),重庆市自然科学基金(2003-7881)
摘    要:序列扩频系统的性能受到多用户干扰的严格制约。多用户检测方法被证明是限制这种干扰的一种有效方法。本文提出一种自适应Tabu搜索算法,用于序列扩频系统中的多用户检测,其中引入自适应集中性和多样性搜索策略,充分发挥短禁忌周期彻底搜索局部空间的能力。仿真实验表明,这种多用户检测方法具有接近最佳检测的误比特性能和较好的抗远近效应能力,并具有多项式计算复杂度。

关 键 词:自适应  集中性  多样性  搜索策略  多用户检测  序列扩频系统  Tabu搜索算法

A New Multi-user Detection Method Based on Adaptive Intensification and Diversification Search
WEN Wan-Hui,LIU Guang-Yuan,HE Yi.A New Multi-user Detection Method Based on Adaptive Intensification and Diversification Search[J].Computer Science,2005,32(3):44-46.
Authors:WEN Wan-Hui  LIU Guang-Yuan  HE Yi
Affiliation:WEN Wan-Hui,LIU Guang-Yuan,HE Yi School of Electronic Information Engineering,South-West Normal University,Chongqing 400715 Department of Advanced Information Management,Chongqing Normal University,Chongqing 400047
Abstract:The performance of CDMA system is deeply constrained by multi-user interference. Multi-user detection is proved to be an effective method to restrain such interference. In this paper,an adaptive Tabu Search algorithm is proposed for multi-user detection in CDMA system,where a novel intensification and diversification strategy is intro- duced in the fixed list size Tabu Search algorithm so as to improve its capability to find the global optimum. Simula- tion shows that this MUD method has excellent BER,anti-near-far performance as well as polynomial computational complexity.
Keywords:Code-division multi-access  Multiuser detection  Tabu search algorithm  Adaptive intensification and diversification search
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