A Fast Forward-looking Super-resolution Imaging Method for Scanning Radar based on Low-rank Approximation with Least Squares

In forward-looking imaging of scanning radar, high range resolution can be realized by matured approaches, while poor angular resolution restricts application of the scanning radar. Several super-resolution methods have been proposed to improve the angular resolution, but they ignore the redundancy characteristics of the antenna measurement matrix. In this paper, we propose a fast forward-looking super-resolution imaging method for scanning radar based on low-rank approximation with least squares. To reduce the redundancy, the low-rank approximation method is used to extract the main information of the antenna measurement matrix and echo matrix, the least squares method is employed to solve the objective function. Simulations and experiment prove the proposed method can promote computational efficiency without losing super-resolution performance.

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