MPSK调制系统中的自适应信道估计

Adaptive Channel Estimation of MPSK Modulation System

本文研究了在MPSK调制方式下，不发送训练序列的直接判决自适应信道估计问题。为提高信道估计性能，提出采用软判决鉴相估值来调整加权最小均方（WLMS）和加权递归最小二乘（WRLS）自适应算法中的权值来进行信道估计，并研究了改进的软判决WRLS算法。结果表明，软判决加权LMS算法比一般LMs性能有很大提高，改进的软判决WRLS算法估计性能优于加权RLS算法。

This paper studies the adaptive channel estimation of the impulse response without the aid of a training symbol. The results of received soft decision are used to weight the LMS and RLS estimators to increase their robustness to harden decision errors and channel noise. The simulation results show that the soft decision weighted LMS has significant advantages over ordinary LMS. The modified soft decision weighted RLS has better performance than the RLS and weighted RLS algorithms.