Abstract
Inverse synthetic aperture radar (ISAR) imaging of maneuveirng target with sparse aperture is very important in the filed of radar signal processing. In this paper, a novel ISAR imaging algorithm of maneuvering target with sparse aperture via the modified orthogonal matching pursuit (OMP) is proposed. First, the minimum entropy class algorithms are used to complete the high-precision motion compensation for the sparse echoes. Then, the echo of each range cell is approximated as a multi-component chirp signal, and the initial frequency and chirp rate of the signal are estimated by the parameter estimation method. Besides, the chirp-Fourier basis is established using the estimated parameters, and the sparse ISAR images can be constructed as a sparse optimization problem. Finally, the high-resolution ISAR image of maneuvering target is achieved after the modified OMP algorithm is used. The effectiveness of the new approach is demonstrated by the experiment results.
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