A multistage nonhomogeneity detector

This paper introduces a new space-time adaptive processing architecture for nonhomogeneous radar environments that exploits the multiresolution analysis of the multistage Weiner filter by interleaving the generalized inner-product. The simplest form of this architecture results in performing the generalized inner-product within the generalized sidelobe canceller. In general, the new architecture provides a signal-dependent generalized inner-product which intends to detect only those inhomogeneities that degrade the estimation of the colored noise and interference that passes through the steering vector. The filter structure and interpretation of the multistage Weiner filter provide the framework for this innovation. Nonhomogeneity detection and adaptive processing performance are assessed by using the Monte Carlo trials of simulated data with known inhomogeneities.

[1]  A realizable mean square error estimator applied to rank selection , 2002, Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002..

[2]  J. S. Goldstein,et al.  Nonhomogeneity detection and the multistage Wiener filter , 2002, Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322).

[3]  Louis L. Scharf,et al.  A Multistage Representation of the Wiener Filter Based on Orthogonal Projections , 1998, IEEE Trans. Inf. Theory.

[4]  William L. Melvin,et al.  Improving practical space-time adaptive radar , 1997, Proceedings of the 1997 IEEE National Radar Conference.

[5]  I. S. Reed,et al.  A multistage STAP CFAR detection technique , 1998, Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197).

[6]  J. S. Goldstein,et al.  Multistage partially adaptive STAP CFAR detection algorithm , 1999 .