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A new cfar detector in gamma-distributed nonhomogeneous backgrounds.
| Content Provider | CiteSeerX |
|---|---|
| Author | Bertaux, Nicolas |
| Abstract | Detecting targets in nonhomogeneous backgrounds is a dif-ficult task, particularly if the detection processor must re-spect a Constant False Alarm Rate (CFAR). In this article, a novel approach is developed for the detection of punctual targets embedded in nonhomogeneous gamma-distributed backgrounds. The well-known CA-CFAR (Cell-Averaging CFAR) processor is generalized to nonhomogeneous back-grounds through a new CFAR thresholding method. This new CFAR thresholding method allows one the design of new CFAR processors that use other background estimators than the arithmetic mean. A new CFAR processor (Q-CFAR) adapted to nonhomogeneous backgrounds is designed, the improvement of the detection performance, and more partic-ularly the improvement of the false alarm regulation obtained with the proposed CFAR processor is shown with Monte-Carlo experiments. 1. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Nonhomogeneous Background New Cfar Thresholding Method New Cfar Processor Arithmetic Mean Cfar Processor Detection Processor Constant False Alarm Rate False Alarm Regulation Nonhomogeneous Gamma-distributed Background Background Estimator Dif-ficult Task Cell-averaging Cfar Novel Approach Detection Performance Monte-carlo Experiment Well-known Ca-cfar Nonhomogeneous Back-grounds Punctual Target |
| Content Type | Text |