UWB信道盲估计的频域递归最小二乘实现

Frequency Domain Recursive Least Squares Realization of UWB Blind Channel Estimation

为了实现超宽带(UWB)信号高效、稳定接收,提出一种基于信道频域特性的UWB信道盲估计算法.利用跳时脉冲相位调制超宽带信号一维统计平稳特性,结合递归最小二乘算法计算,达到信道参数盲估计的目的.计算机仿真结果与最大似然法信道盲估计算法结果的对比表明,新算法在误码率为10-4时,信噪比增益约为3 dB.新算法可同时对多路信道进行估计,对幅度和相位不存在模糊因子,且具有低复杂度的优点.

In order to make the ultra-wideband（UWB） signal received efficiently and stably,an ultra-wideband channel estimation algorithm with low complexity based on the features in frequency domain is proposed.With the help of recursive least squares,the blind channel estimating is achieved based on the one-dimensional statistical stationary feature of time hopping-pulse position modulation signal.The algorithm is of low complexity.Simulation shows the promising gain reaches 3 dB when the bit error rate is 10-4,compared to maximum likelihood blind channel estimation.The algorithm can perform estimations for multiple channels,and there is no ambiguity in both the amplitude and the phase of the estimated channel.