DocumentCode :
990155
Title :
Ll-CFAR: a flexible and robust alternative
Author :
Lops, Marco ; Willett, Perer
Author_Institution :
Naples Univ., Italy
Volume :
30
Issue :
1
fYear :
1994
fDate :
1/1/1994 12:00:00 AM
Firstpage :
41
Lastpage :
54
Abstract :
A new family of constant false alarm rate (CFAR) processors is introduced. An Ll-CFAR forms its noise power estimate by linearly filtering ranked samples from the reference set; the weights of this combination, however, depend not only on the rank, but also on the relative proximity of the sample to the cell under test. From the class of Ll-CFARs may be chosen members which effectively censor spurious targets; members which exhibit impressive control of false alarm in the presence of a clutter edge; and members which are robust against both such inhomogeneities. While the design of such schemes is involved, their implementation is not significantly more burdensome than that of plain ordered statistic CFAR (OS-CFAR). After a discussion of the stochastic training of Ll-CFAR, the performance is thoroughly assessed under the most commonly encountered instances of environmental conditions, and compared with those of classical CFAR techniques
Keywords :
filtering and prediction theory; radar clutter; radar theory; signal detection; stochastic processes; Ll-CFAR; clutter edge; constant false alarm rate processors; inhomogeneities; linear filtering; noise power estimate; plain ordered statistic CFAR; radar detection; ranked samples; reference set; relative proximity; signal detection; spurious targets; stochastic training; Additive noise; Clutter; Filtering; Gaussian noise; Noise robustness; Radar detection; Robust control; Statistics; Stochastic processes; Systems engineering and theory; Testing; Working environment noise;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/7.250405
Filename :
250405
Link To Document :
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