Reconstruction Algorithm of CS Sampling for Wideband Radar Signal Based on LOSAMP

Compressed sensing (CS) sampling has the ability to realize wideband radar signal reconstruction with low-speed sampling. When the sparsity of the radar echo signal is unknown, the sparsity adaptive matching pursuit (SAMP) algorithm has a contradiction between operation time and reconstruction accuracy due to the selection of fixed step size. Therefore, this paper proposes a linear optimization sparsity adaptive matching pursuit (LOSAMP) algorithm. The radar echo signal is reconstructed based on the electromagnetic scattering model of Boeing aircraft. The simulation results show that the operation efficiency of LOSAMP algorithm has been significantly improved compared with SAMP and its improved algorithm.