Ultra-wideband channel estimation based on Bayesian compressive sensing

In this paper, we propose a channel estimation approach based on Bayesian compressive sensing that has the advantage of computation simplicity, noise robust to some extent and the sparse result. UWB channel estimation is absolutely vital to the design of the receiver and is predicament of the UWB system implement. We show that our proposed method relies on the time domain sparse of the impulse response of the channel and the prior knowledge of the channel property which is the key terms of the application of the Bayesian compressive sensing. The simulation results demonstrate that the proposed scheme can achieve better performances in the time consuming and the reconstruction error.