Generalized frequency domain imaging algorithm for arbitrary bisatic SAR

In this paper, a generalized frequency domain imaging algorithm is proposed for focusing data from the bistatic SAR (BSAR) with arbitrary geometry configurations. The proposed algorithm is derived from the ideal frequency-domain spectrum of arbitrary BSAR, which is achieved from the method of the series reversion (MSR). By implementing the 2-D linear regression, the process of the ideal frequency domain imaging reconstruction of arbitrary BSAR is fitted to be a two-dimensional non-uniform discrete Fourier transform (NUDFT). Then the Non-Uniform Fast Fourier Transform of type 3 (NUFFT-3) is used to compensate of the space-variance of BSAR data. Simulation results demonstrate the validity of the proposed algorithm.