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Performance Analysis of a New CFAR Detector for Heterogeneous Environments
Abstract
This paper presents a new model of the CFAR (Constant False Alarm Rate) detector. Mentioned CFAR detector is named Cell-Averaging-Clutter-Map CFAR (CACM-CFAR), which is a combination of cell-averaging CFAR and clutter-map CFAR. Then each local detector makes local binary decision, and transmits it to the fusion center. Finally, the fusion center makes the overall decision based on the total local decisions. The overall decision, which is zero or one, is obtained at the data fusion center based on the ‘AND’ and ‘OR’ fusion rules. Closed form expressions of the probabilities of detection and false alarm are determined and the performance of the proposed detector is investigated. The results show that the new detector achieves a satisfactory performance and works well under general conditions.
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References
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