Parameter estimation with narrowband interference suppression based on compressed sensing

Compressed sensing theory has been successfully applied to the target parameter estimation in ultra-wide-band (UWB) radar system. Compared to Nyquist sampling method, far less samples are needed to recover the parameter of the target echo. However, the existence of narrowband interference (NBI) changes the structure of the received signal seriously. NBI suppression problem must be considered to ensure the accurate parameter estimation of the targets. In this paper, we devote to the precise reconstruction of the received signal and propose a two stage OMP algorithm that can achieve target parameter estimation one time faster than the general multi-component dictionary method. Simulation results show the effectiveness of the proposed algorithm for NBI suppression and target parameter estimation.