Method of Range Ambiguity Suppression Combining Sparse Reconstruction and Matched Filter

Abstract

Synthetic Aperture Radar (SAR) images are often affected by range ambiguity due to antenna sidelobe characteristics and pulse operating mechanism. The work of range ambiguity suppression focuses on both SAR system design and signal processing. On the one hand, ideas have been proposed to modify the transmitting and receiving waveforms to block the ambiguous energy, such as up and down chirp modulation, multiple elevation beams, and azimuth phase coding techniques. On the other hand, signal processing methods in echo and image domains have been used to reduce the range ambiguity energy, such as up and down chirp processing and sparse regularization methods. This paper proposes a range ambiguity suppression method that combines sparse reconstruction and matched filter. There are four main steps: performing the sparse reconstruction to obtain the ambiguity area, estimating the ambiguity signal using the ambiguity area image and reconstruction matrix, separating ambiguity signal from the whole signal to obtain the signal of primary imaging area, using matched filter to the primary signal to obtain the main lobe area image. In this method, sparse reconstruction improves the accuracy of ambiguity signal estimation, and matched filter ensures the efficiency of imaging processing procedure. Simulation results show that the proposed method can effectively suppress range ambiguity. When the ambiguity energy is relatively strong, the Focal Underdetermined System Solver (FOCUSS) algorithm can get better results than the classical Orthogonal Matching Pursuit (OMP) algorithm. Moreover, the weak targets and the details of the main lobe image are well preserved.