The Concept of constant false alarm rate CFAR detection is usually a requirement for any modern radar system. This paper proposes a generalization of a robust CFAR detector to account for the presence of thermal noise and interfering targets. We show via simulation results that the proposed detector keeps the CFAR property for a class of compound Gaussian clutter, namely: the K distribution, the Generalized Pareto distribution and the Compound Inverse Gaussian distribution. The results obtained show that the probability of false alarm is almost independent of the clutter parameter for all the cases studied.
CITATION STYLE
Guidoum, N., Soltani, F., Zebiri, K., & Mezache, A. (2018). Robust non parametric CFAR detector in compound gaussian clutter in the presence of thermal noise and interfering targets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10884 LNCS, pp. 186–193). Springer Verlag. https://doi.org/10.1007/978-3-319-94211-7_21
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