Pulse Radar Imaging Research

This algorithm is developed for pulse radar imaging research. Pulse radar imaging is a technology used to acquire shape and position information of target objects, with broad applications in military and civilian fields. During the imaging process, the algorithm implements the Compressed Sensing Orthogonal Matching Pursuit (OMP) reconstruction technique, which achieves signal compression and recovery through sparse representation and reconstruction of target signals. In code implementation, the OMP algorithm typically involves iterative selection of the most correlated atoms from a measurement matrix and solving least-squares problems to reconstruct sparse signals. The algorithm ultimately produces two-dimensional imaging results of the scene, which holds significant importance for both research and practical applications. Key implementation aspects include sparse basis selection, measurement matrix design, and stopping criteria optimization for the reconstruction process.