Abstract
Owing to the particular configuration of the bistatic synthetic aperture radar with stationary transmitter (ST-BISAR), image formation for such kind of radar is a great challenge for producing well-focused images. In this paper, an imaging algorithm based on the range equivalent ellipse model is proposed to deal with these issues. The construction of range equivalent model is the key for both the range processing and the equalization of azimuth-dependent DFMR. Analyzing the result of range processing combining linear range walk correction (LRWC), bulk range cell migration correction (RCMC) and secondary range compression (SRC), a range equivalent ellipse model is deduced to reveal the complicated relationship among azimuth variant echoes accurately, and helps derive the analytical expressions of the Doppler phases. Based on these results, an extended nonlinear chirp scaling (ENLCS) is utilized to equalize the space-variant ST-BISAR data, which contributes to a high-performance image formation. The effectiveness of the proposed approach is validated and demonstrated via simulations.
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