摘要
MIMO自适应均衡器的作用是通过校正和补偿时变信道来减少码间干扰,因此通过智能算法来优化其控制参数的方法十分必要.本文对基于指数函数的变步长LMS(EXP_NLMS)算法进行了研究,并将其应用到MIMO自适应均衡器设计中,用于控制参数的智能自适应更新.通过基于归一化最小均方(NLMS)算法和EXP_NLMS算法的MIMO自适应均衡器性能进行仿真和对比分析,得出结论,针对MIMO自适应均衡器的设计,EXP_NLMS算法相比NLMS算法收敛速率更快,收敛后更加稳定,效果更好.
The adaptive equalizer of MIMO systems is made by compensating the unknown time-varying channel, specific intelligent algorithm is necessary for updating the equalizer coefficients. The EXP_ NLMS algorithm is studied in this paper, and applied to the design of adaptive equalizer of MIMO systems with intelligently updating control parameter.Through simulation and comparative analysis for NLMS and EXP_ NLMS algorithm, the paper draw the conclusion that the EXP_ NLMS algorithm can satisfy the requirement of calcu-lation for its rapid convergence velocity compared with NLMS algorithm, the effect is better to design adaptive equalizer of MIMO systems.
出处
《河北工业大学学报》
CAS
2015年第3期17-21,共5页
Journal of Hebei University of Technology
基金
国家自然科学基金(60972106
51208168)
天津市自然科学基金(11JCYBJC00900)
河北省自然科学基金(F2013202254)
河北省引进留学人员基金(JFS-2012-13001)
