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针对时变信道需进行自适应均衡的要求 ,分析了常用的 3种基本自适应算法 :迫零算法 (ZF) ,最小均方算法(LMS)及递归最小二乘算法 (RLS) .迫零算法由于其原理上的缺点 ,实际应用很少 ;具有同样收敛速度和跟踪性能的递归最小二乘算法要优于最小均方算法 ,但前者运算量较大 ,程序复杂 ,且一些算法不稳定 .文中讨论的算法 ,虽然是针对线性、横向均衡器引入的 ,但也可应用于其它均衡器结构
In order to meet the requirement of time-varying channel adaptive equalization, three basic adaptive algorithms are analyzed: zero-forcing algorithm (ZF), least mean square algorithm (LMS) and recursive least squares algorithm (RLS) Because of its shortcomings in theory, it has few practical applications. Recursive least squares algorithm with the same convergence speed and tracking performance is better than the least mean square algorithm, but the former has a large amount of computation, complicated procedures and some algorithms are unstable. The algorithms discussed, though introduced for linear, horizontal equalizers, can also be applied to other equalizer structures