杂乱
恒虚警率
探测器
计算机科学
人工智能
雷达
电信
标识
DOI:10.1109/icr.2001.984694
摘要
The problems of CFAR processing are investigated by means of real cloud clutter data. Based on FFT processing techniques, a comparison of cloud clutter suppressing performance is made between CAGO-CFAR detectors, 3D-CLUTTER MAP-CFAR detectors and MX-OS-CFAR detectors. A new robust 2D-OS-CFAR detector is developed to resolve existent problems, with CFAR processing on a two-dimensional R-Fd (range-Doppler frequency) plane in place of the conventional one-dimensional range. Order statistics are used to estimate clutter amplitude at the same time. The processing results of real cloud clutter and target simulation signals have verified excellent performances of the 2D-OS-CFAR detector.
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