Forward-looking Imaging via Iterative Super-resolution Estimation in Airborne Multi-channel Radar
The direction of arrival estimation algorithm can overcome the Rayleigh limit,effectively separate multiple targets within the main lobe,and improve the azimuth resolution when applied to forward-looking imaging in airborne multi-channel radar.However,the limited antenna beam coverage and rapid scanning result in a scarcity of data samples available for covariance matrix estimation,leading to direction and amplitude estimation errors.Herein,we propose a forward-looking imaging algorithm based on single-snapshot iterative super-resolution estimation.The algorithm performs single-snapshot iterative spectral estimation to accurately determine the azimuth and amplitude of the target.Subsequently,a high-resolution image is achieved through non-coherent accumulation.Simulation and experimental data processing results show that the proposed algorithm can resolve multiple targets,significantly improving the azimuth resolution of the forward-looking image compared with traditional forward-looking imaging algorithms.Moreover,it ensures the accurate reconstruction of point targets and contour reconstruction of area targets.
DOA estimationForward-looking imagingSingle snapshotIterative super-resolutionIterative minimum mean square error
万方数据
维普
