Bistatic JDL-STAP for ground moving target detection

Optimum STAP requires knowledge of the true interference covariance matrix. In practice, this matrix is not known and is estimated from training data that must be target-free and statistically homogeneous with respect to the test data. These conditions are often not satisfied, which degrades the detection performance. Single-data-set algorithms have been proposed to circumvent this problem, which works solely on the test data. In this paper, we study the issues associated with applying reduced-dimension techniques to these algorithms in a bistatic radar system. Simulation results show an improved detection performance against conventional STAP algorithms in heterogeneous environments.