Statistical performance analysis of the adaptive sidelobe blanker detection algorithm

A method was proposed for reducing the high false alarm rate of the adaptive matched filter (AMF) under non-homogeneous conditions. It consists of sequentially following the AMF test with the adaptive cosine estimator (ACE) which determines what fraction of the total energy present in a test cell originates from the target direction. The overall detection algorithm, called the adaptive sidelobe blanker (ASB), is two dimensional and has exhibited significant potential in experimental settings. The goal of this paper is to provide a theoretical analysis of this 2-D algorithm.

[1]  A.O. Steinhardt,et al.  Target detection in post-STAP undernulled clutter , 1995, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.

[2]  E. J. Kelly.  An Adaptive Detection Algorithm , 1986, IEEE Transactions on Aerospace and Electronic Systems.

[3]  Christ D. Richmond.  Statistics of adaptive nulling and modeling inhomogeneities in adaptive processing , 1998, Ninth IEEE Signal Processing Workshop on Statistical Signal and Array Processing (Cat. No.98TH8381).

[4]  L.L. Scharf,et al.  Adaptive coherence estimation for radar signal processing , 1996, Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers.

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

[6]  I. Reed,et al.  Rapid Convergence Rate in Adaptive Arrays , 1974, IEEE Transactions on Aerospace and Electronic Systems.

[7]  Christ D. Richmond.  PDF's, confidence regions, and relevant statistics for a class of sample covariance-based array processors , 1996, IEEE Trans. Signal Process..