Abstract:

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.