关键词: 超宽带, 最小二乘算法, 信道盲估计, 一阶统计量

Abstract: A novel Least Square（LS）-based blind channel estimation algorithm is proposed for the Ultra Wide-Band（UWB） communications by exploiting the first-order statistics of the received signals.Firstly，the cyclic convolution property of the received signals’ statistics is exploited to formulate the question of channel estimation，as the model is established in one symbol’s interval，the complexity of the algorithm is relative low.Then the Least Square（LS） algorithm is used to estimate the parameters of the taps.Simulation results demonstrate that the Minimum Squared Error（MSE） and Bit-Error Ratio（BER） performances of the proposed algorithm are almost the same as that of the Data-Aided ML（DA-ML） and Data-Aided LS（DA-LS） algorithms，but its complexity is decreased and the transmission efficiency is improved at the same time.

Key words: Ultra Wide-Band（UWB）, Least Square algorithm, blind channel estimation, first-order statistics