A Glrt Based Stap for the Range Dependent Problem

We consider in this paper a likelihood principle based approach for the range dependent problem in space time adaptive processing. The proposed generalized likelihood ratio test (GLRT) addresses the range dependent issue by directly applying the likelihood principle to the range dependent signal model. Using the knowledge of platform geometry, we develop maximum likelihood estimators that facilitate the GLRT. This differs from existing methods that rely on data transformations in dealing with the range dependence issue. Numerical examples show that the new GLRT approach exhibits significant performance gain over existing approaches.

[1]  Marc Van Droogenbroeck,et al.  New methods for handling the range dependence of the clutter spectrum in non-sidelooking monostatic STAP radars , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[2]  Dimitri P. Bertsekas,et al.  Nonlinear Programming , 1997 .

[3]  David W. Lewis,et al.  Matrix theory , 1991 .

[4]  Braham Himed,et al.  STAP with angle-Doppler compensation for bistatic airborne radars , 2002, Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322).

[5]  L.E. Brennan,et al.  Theory of Adaptive Radar , 1973, IEEE Transactions on Aerospace and Electronic Systems.

[6]  Daniel R. Fuhrmann,et al.  A CFAR adaptive matched filter detector , 1992 .

[7]  G. K. Borsari,et al.  Mitigating effects on STAP processing caused by an inclined array , 1998, Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197).

[8]  James Ward,et al.  Space-time adaptive processing for airborne radar , 1998 .