Title :
Adaptive cell-averaging CFAR detection in distributed sensor networks
Author :
Barkat, Mourad ; Varshney, Pramod K.
Author_Institution :
Dept. of Electr. Eng., State Univ. of New York, Stony Brook, NY, USA
fDate :
5/1/1991 12:00:00 AM
Abstract :
The problem of adaptive cell-averaging constant false-alarm rate (CFAR) detection is considered for two distributed sensor network topologies, namely the parallel and the tandem topologies. The compressed data transmitted amongst the detectors is assumed to be in the form of decisions. The overall systems are optimized to yield the maximum probability of detection for a fixed probability of false alarm. The performance of the systems is also analyzed
Keywords :
adaptive systems; network topology; probability; radar theory; signal detection; signal processing; CFAR detection; adaptive cell-averaging constant false-alarm rate; compressed data; decisions; distributed sensor networks; false alarm; fixed probability; maximum probability of detection; network topologies; optimised system; parallel topology; radar signal detection; tandem topologies; Background noise; Bandwidth; Circuit topology; Detectors; Intelligent networks; Network topology; Radar detection; Sensor systems; Signal processing; Testing;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
