On Adaptive Cell-Averaging CFAR (Constant False-Alarm Rate) Radar Signal Detection
Final technical rept. Jun 1984-Dec 1986
SYRACUSE UNIV NY DEPT OF ELECTRICAL AND COMPUTER ENGINEERING
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In radar signal detection, the problem is to automatically detect a target in a nonstationary noise and clutter background while maintaining a constant probability of false-alarm. Classical detection using a matched filter receiver and a fixed threshold is not applicable due to the nonstationary nature of the background noise. Therefore, adaptive threshold techniques are needed to maintain a constant false-alarm rateCFAR. One approach to adaptive detection in nonstationary noise and clutter background is to compare the processed target signal to an adaptive threshold. In the cell-averaging CFAR processing, an estimate of the background noise from the leading and the lagging reference windows is used to set the adaptive threshold. A threshold multiplieror scaling factoris used to scale the threshold to achieve the desired probability of false-alarm. In the first part of this report, we have proposed two modified cell-averaging detectors for multiple target situations. The first one is a weighted cell-averaging CFAR detector, WCA-CFAR, where weighted leading and lagging reference windows are used to obtain the adaptive threshold. The second is a cell-censored, cell averaging CFAR processor where a predetermined fixed threshold is used to eliminate those cells that may contain interference.
- Active and Passive Radar Detection and Equipment