Title :
Non-statistical transformed data domain stap algorithm for non-homogeneous environment
Author :
Yang, Eunjung ; Chun, Joohwan ; Chun, Jonghoon
Author_Institution :
KAIST, Daejeon
Abstract :
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.
Keywords :
interference suppression; radar clutter; radar signal processing; space-time adaptive processing; SIRV clutter model; TDD algorithm; beam-doppler domain; direct data domain algorithm; heterogeneous clutter; interference covariance; non-homogeneous environment; non-statistical transformed data domain stap algorithm; space-time signal; statistical algorithms; transformed data domain; Clutter; Computer science; Covariance matrix; Degradation; Interference suppression; Numerical simulation; Random variables; Statistical analysis; Testing; Training data;
Conference_Titel :
Synthetic Aperture Radar, 2007. APSAR 2007. 1st Asian and Pacific Conference on
Conference_Location :
Huangshan
Print_ISBN :
978-1-4244-1188-7
Electronic_ISBN :
978-1-4244-1188-7
DOI :
10.1109/APSAR.2007.4418603