基于压缩感知和递归最小二乘的IR-UWB信道估计算法

摘要

In order to reduce the burden of the high sample rate on the impulse radio ultra-wide band (IR-UWB) receiver,a channel estimation algorithm based on compressive sensing and recursive least squares is proposed.After passing through the stochastic filter,the received training symbols are sub-sampled.Then the recursive least square method is applied to calculate the sub-sampled signals.Finally,the estimated channel parameters are achieved with the aid of the reconstruction algorithm in compressive sensing.The proposed algorithm can estimate the IR-UWB channel parameters effectively with a low sample rate.On one hand,the requirement on the ADC performance of the receiver is reduced.On the other hand,the smaller data quantity brought by the low sample rate can reduce the amount of calculation.%为了减轻脉冲无线超宽带(impulse radio ultra-wide band,IR-UWB)接收机高采样频率的负担,提出了基于压缩感知和递归最小二乘的低采样率信道估计算法.该算法先令接收到的训练符号通过随机滤波器,并对其欠采样,对采样到的信号进行递归最小二乘计算,最后利用压缩感知重构算法得到信道参数的估计值.提出的算法能够在低采样率的情况下时IR-UWB信道参数进行有效估计.该算法一方面降低了接收机对于模数转换器的要求；另一方面,低采样率产生较小的数据量,从而降低了估计算法的计算量.