Bistatic STAP performance analysis in radar applications

We consider the performance of several space-time adaptive processing (STAP) algorithms in a bistatic airborne radar application. Specific consideration is given to the effect of bistatic clutter spectral dispersion on covariance estimation and the algorithm´s resulting clutter rejection capability. Our prime research focus emphasizes adaptive processing methods capable of high performance with efficient utilization of training data requiring no spectral compensation for dispersion mitigation; i.e., methods capable of operation with training data from radar range cells located in close proximity to the primary range test cell. Algorithm performance is assessed using the output signal-to-interference-plus-noise ratio (SINR) compared to that of the matched filter with known covariance