DocumentCode :
3501933
Title :
Robust adaptive signal processing methods for heterogeneous radar clutter scenarios
Author :
Rangaswamy, Muralidhnr ; Lin, Freeman C. ; Gerlach, Karl R.
Author_Institution :
Air Force Res. Lab./SNHE, Hanscom AFB, MA, USA
fYear :
2003
fDate :
5-8 May 2003
Firstpage :
265
Lastpage :
272
Abstract :
This paper addresses the problem of radar target detection in severely heterogeneous clutter environments. Specifically we present the performance of the normalized matched filter (NMF) test in a background of disturbance consisting of clutter having a covariance matrix with known structure and unknown scaling plus background white Gaussian noise. It is shown that when the clutter covariance matrix is low rank, the NMF test retains invariance with respect to the unknown scaling as well as the background noise level and is approximately CFAR. Performance of the test depends only upon the number of elements, number of pulses processed in a coherent processing interval and the rank of the clutter covariance matrix. Analytical expressions for calculating the false alarm and detection probabilities are presented. Performance of the method is shown to degrade with increasing clutter rank especially for low false alarm rates. An adaptive version of the test is developed and its performance is studied with simulated data. A technique known as self censoring reiterative fast maximum likelihood/adaptive power residue (SCRFML/APR) is presented to overcome the problem of outliers in training data for heterogeneous clutter scenarios.
Keywords :
Gaussian noise; adaptive signal processing; covariance matrices; interference suppression; matched filters; radar clutter; radar detection; radar signal processing; adaptive power residue; adaptive signal processing methods; clutter covariance matrix; heterogeneous radar clutter scenarios; normalized matched filter test; radar target detection; self censoring reiterative fast maximum likelihood; white Gaussian noise; Adaptive signal processing; Background noise; Covariance matrix; Gaussian noise; Matched filters; Object detection; Probability; Radar clutter; Robustness; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2003. Proceedings of the 2003 IEEE
Print_ISBN :
0-7803-7920-9
Type :
conf
DOI :
10.1109/NRC.2003.1203412
Filename :
1203412
Link To Document :
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