Wide-band radar signal sampling and reconstruction based on random filter

Wide-band radar, whose echo signal requires a lot of space for storage with the development of ultra wide band(UWB) technology, if using the conventional Nyquist sampling, however, the theory of compressive sensing (CS) enables the reconstruction of sparse signals from a small set of measurements, whereas the key point is the selection of the measurement matrix and the reconstruction algorithm. A method for radar processing based on CS is proposed in this paper. The measurement matrix is selected by random filter, which effectively reduces the number of non-zero elements in the measurement matrix. The simple Orthogonal Matching Pursuit (OMP) algorithm is chosen to reconstruct signal with less data storage and lower computational complexity. Finally, simulations are taken on testing the proposed method on LFM signals, and the results are provided to verify the performance of this method.