Title :
Decentralized CFAR detection with binary integration in Weibull clutter
Author :
Gini, Fulvio ; Lombardini, Fabrizio ; Verrazzani, Lucio
Author_Institution :
Pisa Univ., Italy
fDate :
4/1/1997 12:00:00 AM
Abstract :
The analysis of a distributed multiradar system with decentralized decisions, operating in the presence of nonstationary Weibull clutter is presented. Each sensor employs a constant false-alarm rate (CFAR) algorithm and binary integration and transmits its local decisions to the fusion center, which takes the final decision. Optimal local double thresholds and decision fusion rule are determined according to the Neyman-Pearson (N-P) criterion and the global performance is evaluated by a novel approach to optimize distributed binary integration systems.
Keywords :
Weibull distribution; integration; maximum likelihood detection; optimisation; performance evaluation; radar clutter; radar detection; sensor fusion; CFAR; Neyman-Pearson criterion; Weibull clutter; binary integration; constant false-alarm rate; decentralized CFAR detection; distributed binary integration systems; distributed multiradar system; fusion center; global performance; nonstationary Weibull clutter; optimal local double thresholds; Clutter; Communication system control; Control systems; Detection algorithms; Detectors; Optimal control; Power system modeling; Probability; Radar applications; Radar clutter; Radar detection; Sensor fusion; Sensor systems; Testing; Thyristors;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
