Robust two-parameter invariant CFAR detection utilizing order statistics applied to Weibull clutter

Daniel T. Nagle; Jafar Saniie

doi:10.1117/12.139364

25 August 1992 Robust two-parameter invariant CFAR detection utilizing order statistics applied to Weibull clutter

Daniel T. Nagle, Jafar Saniie

Proceedings Volume 1698, Signal and Data Processing of Small Targets 1992; (1992) https://doi.org/10.1117/12.139364
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

Constant False Alarm Rate (CFAR) detectors are designed to perform when the clutter information is partially unknown and/or varying. This is accomplished using local threshold estimates from background observations in which the CFAR level is maintained. However, when local observations contain target or irrelevant information, censoring is warranted to improve detection performance. Order Statistics (OS) processors have been shown to perform robustly (referring to type II errors or CFAR loss) for heterogeneous background clutter observations, and their performance has been analyzed for exponential clutter with unknown power. In this paper, several order statistics are used to create an invariant test statistic for Weibull clutter with two varying parameters (i.e., power and skewness). The robustness of a two-parameter invariant CFAR detector is analyzed and compared with an uncensored Weibull-Two Parameter (WTP) CFAR detector and conventional Cell Averaging (CA)-CFAR detector (i.e., designed invariant to exponential clutter). The performance trade-offs of these detectors are gaged for different scenarios of volatile clutter environments.

Citation Download Citation

Daniel T. Nagle and Jafar Saniie "Robust two-parameter invariant CFAR detection utilizing order statistics applied to Weibull clutter", Proc. SPIE 1698, Signal and Data Processing of Small Targets 1992, (25 August 1992); https://doi.org/10.1117/12.139364

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