Improving practical space-time adaptive radar

This paper discusses the incorporation of nonhomogeneity detection with space-time adaptive processing to improve the formation of adaptive weights in practical adaptive airborne radar. We examine the problem of improving interference covariance matrix estimation in real-world environments and discuss several approaches for integrating nonhomogeneity detection with space-time adaptive processing. We use measured airborne data from the Rome Laboratory Multichannel Airborne Radar Measurements Program to illustrate key points.

[1]  Hong Wang,et al.  On adaptive spatial-temporal processing for airborne surveillance radar systems , 1994 .

[2]  Irving S. Reed,et al.  A new CFAR detection test for radar , 1991, Digit. Signal Process..

[3]  J. Mallett.  Rapid convergence in adaptive arrays , 1976 .

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

[5]  D.J. Rabideau,et al.  Improving the performance of adaptive arrays in nonstationary environments through data-adaptive training , 1996, Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers.

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

[8]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .