基于均值循环卷积特性的UWB信道盲估计算法

该文针对采用码片率抽头间隔的TH-PPM超宽带系统离散信道，利用接收信号的均值循环卷积特性，对UWB信道估计问题进行建模，结合UWB信道的稀疏簇结构，提出一种基于抽头探测的UWB信道盲估计算法，避免了无谓的零抽头估计，改善了算法性能。仿真表明：在低信噪比(0-15dB)的情况下，基于抽头探测算法的MSE比没利用信道结构特征的最小二乘算法平均低约5.5dB；在中等信噪比(15dB)的情况下，基于抽头探测算法的MSE比最小二乘算法平均低约3.5dB，同时基于抽头探测算法还能获得较好的SER(Signal-Error-Ratio)性能。

Blind Channel Estimation for UWB Systems Based on the Cyclic Convolution Property of the Receive Signal's Expectation

In this paper, a novel blind channel estimation algorithm based on tap detecting is proposed for the chip-rate discrete channel of the TH-PPM Ultra Wide-Band(UWB) communications. In this algorithm, the cyclic convolution property of the receive signal’s expectation is used to model the question of channel estimation, and the sparse and cluster structure of UWB channel is used to avoid non-important zero taps’ estimation which promoted the performance of the algorithm. Simulation results demonstrated that the mean square error of the UWB-TDLS is 5.5dB’s lower than UWB-LS in the situation of low signal to noise ratio(0-15dB), while it is 3.5dB lower in the situation of high signal to noise ratio(>15dB), moreover the UWB-TDLS also has better signal-error-ratio performance than UWB-LS.