Low rank adaptive signal processing for radar applications

This paper addresses the problem of radar target detection in heterogeneous clutter environments. We present the performance of the low rank normalized matched filter (LRNMF) test and the low rank normalized adaptive matched filter (LRNAMF) in a background of disturbance consisting of clutter having a covariance matrix with known structure and unknown scaling plus background white Gaussian noise with unknown variance. It is shown that the LRNMF test retains invariance with respect to the unknown scaling as well as the background noise level and is approximately CFAR. Analytical expressions for calculating the false alarm and detection probabilities are presented. Performance analysis of the LRNAMF test using simulated data from the KASSPER program is presented. Issues of sample support for subspace estimation, constant false alarm rate (CFAR) and detection performance are presented.

[1]  D. Tufts,et al.  Adaptive detection using low rank approximation to a data matrix , 1994 .

[2]  A. Öztürk,et al.  Non-Gaussian random vector identification using spherically invariant random processes , 1993 .

[3]  M. Wicks,et al.  Development of a statistical procedure for detecting the number of signals in a radar measurement , 2001 .

[4]  Karl Gerlach,et al.  Fast converging adaptive processor or a structured covariance matrix , 2000, IEEE Trans. Aerosp. Electron. Syst..

[5]  F. Gini.  Sub-optimum coherent radar detection in a mixture of K-distributed and Gaussian clutter , 1997 .

[6]  William L. Melvin,et al.  Assessment of multichannel airborne radar measurements for analysis and design of space-time processing architectures and algorithms , 1996, Proceedings of the 1996 IEEE National Radar Conference.

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

[8]  Marco Lops,et al.  Asymptotically optimum radar detection in compound-Gaussian clutter , 1995 .

[9]  James Ward,et al.  Space-time adaptive processing for airborne radar , 1994, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[10]  D. W. Tufts,et al.  Rapidly adaptive nulling of interference , 1989, IEEE 1989 International Conference on Systems Engineering.

[11]  Muralidhar Rangaswamy,et al.  Robust adaptive signal processing methods for heterogeneous radar clutter scenarios , 2004, Signal Process..

[12]  Ramon Nitzberg.  Detection Loss of the Sample Matrix Inversion Technique , 1984, IEEE Transactions on Aerospace and Electronic Systems.