A new LMS algorithm with application to fixed satellite communications

Haibin Li, Yanguang Han, Xinping Guan
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引用次数: 2

Abstract

A distinctive new LMS algorithm is proposed in this paper. Both fast convergence rate and small steady state error can be obtained through non-linear weighting N errors of the current moment and past moments in this algorithm. The algorithm analyzed that the ideal step size is achieved by increasing the error information, building new nonlinear relations between step size factor and error function and eliminating the effect of correlated noise sequences. Then the new algorithm is applied to the fixed satellite communications system in which the channel is affected by multipath effect and weather conditions attenuation. Simulation results show that the new algorithm converges faster than usual algorithms under approximate steady state performance. The signal BER performance is greatly improved with the new adaptive algorithm equalizer in the fixed satellite communications system.
一种新的LMS算法及其在卫星通信中的应用
本文提出了一种独特的LMS算法。该算法通过对当前矩和过去矩的N个误差进行非线性加权,可以获得较快的收敛速度和较小的稳态误差。该算法分析了通过增加误差信息、建立新的步长因子与误差函数之间的非线性关系以及消除相关噪声序列的影响来实现理想步长。然后将该算法应用于信道受多径效应和天气条件衰减影响的固定卫星通信系统。仿真结果表明,在近似稳态性能下,新算法比一般算法收敛速度快。在卫星固定通信系统中,采用自适应均衡器大大提高了信号的误码率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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