On distributed cellaveraging CFAR detection with data fusion
Abstract
A distributed version of a signal detection problem of practical relevance is considered. It deals with the detection of a target in a statistically nonstationary background noise (thermal noise plus cutter). In this situation, classical detection with a fixed threshold cannot be used because the falsealarm probability may increase intolerably. Therefore, adaptive threshold techniques are needed to maintain a constant falsealarm rate (CFAR). One approach is to compare the output from the test cell to an adaptive threshold obtained from the mean level of clutter plus noise over adjacent range cells. In the cellaveraging constant falsealarm rate detector (CACFAR), the adaptive threshold is obtained from the arithmetic mean of the set of the leading cells forming one reference window and the set of the lagging cells forming the other reference window.
 Publication:

IN: IEEE Conference on Decision and Control
 Pub Date:
 1987
 Bibcode:
 1987deco....3.1844B
 Keywords:

 Adaptive Control;
 Distributed Parameter Systems;
 Error Detection Codes;
 False Alarms;
 Signal Detection;
 Bayes Theorem;
 Clutter;
 Control Systems Design;
 Control Theory;
 Signal Processing;
 Communications and Radar