Compressive sensing ultra-wideband channel estimation using Hadamard measurement matrix

Compressive sensing UWB channel estimation could leave much to be desired when using random measurement matrix because of randomness being difficult to achieve. A deterministic compressive sensing UWB channel estimation method is therefore proposed by mean of Hadamard measurement matrix and the modified OMP reconstructing algorithm, by which the deterministic adaptive sensing matrix is constructed according to incoherence criterion in order to obtain optimal atoms. Simulation results show that much improvement on UWB channel estimation is obtained by the proposed method in low compressive sampling ratio and low SNR, and especially the design of measurement matrix is simplified.