A New CFAR Detector Based on Automatic Censoring Cell Averaging and Cell Averaging

Yuhua Qin, Huili Gong, Ting Liu


In order to improve the interference immunity of the detector, a new CFAR detector (ACGCA-CFAR) based on automatic censoring cell averaging (ACCA) and cell averaging (CA) is presented in this paper. It takes the greatest value of ACCA and CA local estimation as the noise power estimation. Under swerling II assumption, the analytic expressions of  in homogeneous background are derived. In contrast to other detectors, the ACGCA-CFAR detector has higher detection performance both in homogeneous and nonhomogeneous backgrounds, while the sample sorting time of ACGCA is only quarter that of OS and ACCA.


DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2686




detection; constant false alarm rate (CFAR); automatic censoring cell averaging (ACCA); ordered data variability (ODV)

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The Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
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