PROJECT TITLE :

Ground-Moving Target Imaging and Velocity Estimation Based on Mismatched Compression for Bistatic Forward-Looking SAR

ABSTRACT:

Bistatic forward-wanting artificial aperture radar (BFL-SAR) may be a kind of bistatic SAR system that can image forward-wanting terrain in the flight direction of an aircraft. Till currently, BFL-SAR imaging theories and methods are researched for stationary targets. In contrast to the stationary target, the motion of a ground-moving target (GMT) induces unknown range cell migration and additional modulation of the azimuth signal. Therefore, to finely image the GMT, one must get its velocity parameters accurately, but they are sometimes unknown. In this paper, a unique GMT imaging and velocity estimation technique, that relies on mismatched compression, is proposed for BFL-SAR without a priori knowledge of the GMT's velocity parameters. The main idea behind mismatched compression is to use a presumed azimuth reference perform for performing correlated operation with the azimuth signal of the GMT. Normally, the Doppler parameters of the presumed azimuth reference function are different from those of the GMT's azimuth signal as a result of the velocity parameters of the GMT are unknown. So, the correlation operation remarked earlier is truly mismatched compression, and therefore the ensuing image is shifted and defocused. The shifted and defocused image is utilized to get the $64000 Doppler and velocity parameters of the GMT. The advantage of this methodology is that not solely the GMT can be well centered but conjointly the GMT's velocity can be simultaneously obtained. In addition, this method needs solely monochannel antenna. The proposed BFL-SAR GMT imaging and velocity estimation methodology is validated by numerical simulations.