Compressed sensing (CS) theory can be used to extract target scattering characteristics and frequency characteristics from the partially missed bistatic ISAR(Bi-ISAR) echo directly to achieve high-resolution imaging. In this paper, based on the analysis of sparse property of BI-ISAR signal, sparse basis matrix and the observation matrix which is irrelevant to the sparse base matrix are constructed to get the observed signal. Provided that l1 norm of original signal coefficients based on sparse base is minimum, gradient projection method is used to reconstruct the target signal with high precision, and then bistatic ISAR imaging algorithm based on CS is given. Computer simulations using frequency stepped signal are given to verify the effectiveness of the proposed method.
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