Non-statistical transformed data domain stap algorithm for non-homogeneous environment

This paper introduces a new non-statistical STAP algorithm which is efficient and powerful in non-homogeneous environment. The traditional statistical algorithms using the estimated interference covariance are not optimal in heterogeneous clutter. The non-statistical approach which uses primary data only and is appropriate to extremely heterogeneous case is presented. The transformed data domain (TDD) algorithm which is more simple and efficient compared to the original direct data domain (D3) algorithm is proposed. The received space-time signal is transformed to beam-doppler domain and weight to minimize interferences is obtained in this space. The performance of the proposed non-statistical STAP is tested in SIRV clutter model environment and compared to that of the approach which employs traditional statistical algorithm.