Space-time adaptive processing (STAP) is an effective approach to detecting moving target from ground clutter for airborne radar [1]. The successful implementation of STAP requires accurate estimation of the second-order clutter statistical information. The ground clutter estimation is only achievable when the clutter is geographically homogenous. Therefore, it is very difficult to effectively implement STAP under inhomogeneous clutter environments for airborne bistatic operation [2]. The image feature-based space-time processing (IFSTP) algorithm has been developed for airborne monostatic radar to detect moving targets from ground clutters without clutter estimation. In IFSTP moving targets are detected and discriminated from clutters based on their distinct features in the Doppler-angle domain. In this work, the IFSTP will be extended and applied to airborne bistatic operation for ground moving target detection from clutter.
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