Accession Number:

ADA196286

Title:

On Adaptive Cell-Averaging CFAR (Constant False-Alarm Rate) Radar Signal Detection

Descriptive Note:

Final technical rept. Jun 1984-Dec 1986

Corporate Author:

SYRACUSE UNIV NY DEPT OF ELECTRICAL AND COMPUTER ENGINEERING

Personal Author(s):

Report Date:

1987-10-01

Pagination or Media Count:

171.0

Abstract:

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.

Subject Categories:

  • Active and Passive Radar Detection and Equipment

Distribution Statement:

APPROVED FOR PUBLIC RELEASE