摘要
为了提高多用户检测技术的性能,改善粒子群算法的局部搜索能力,将克隆选择算法(CS)和传统离散粒子群算法(DPSO)相结合,文中提出一种改进的自适应克隆选择粒子群优化算法(ACSPSO),并用于多用户检测。仿真证明,这种基于ACSPSO的检测器在误码率和收敛速度上都比DPSO和CS得到明显改善。
In order to improve the performance of Multi-User Detection technology and the local search capability of particle swarm optimization （PSO）, clone selection algorithm （CS） is combined with traditional dispersed particle swarm optimization （DPSO）, and a new advanced self-adaptation clone selection particle swarm optimization （ACSPSO） is proposed and used in Multi-User Detection. Computer simulation results have shown that the new detector based on ACSPSO is better than DPSO and CS in BER and convergence speed.
出处
《通信技术》
2007年第12期190-192,共3页
Communications Technology
关键词
多用户检测
离散粒子群算法
克隆选择算法
multi-user detection
dispersed particle swarm optimization
clone selection algorithm
