Title :
Decentralized CFAR detection based on order statistics
Author :
Uner, Mucahit K. ; Varshney, Pramod K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Syracuse Univ., NY, USA
Abstract :
In this paper, we analyze the performance of distributed constant false alarm rate (CFAR) detection with data fusion both in homogeneous and nonhomogeneous Gaussian backgrounds. We employ the ordered statistics (OS) CFAR detectors as local detectors. In the homogeneous background, we maximize the global probability of detection for a given fixed global probability of false alarm by optimizing both the threshold multipliers and the order numbers of the local OS-CFAR detectors. In the nonhomogeneous background with multiple targets or clutter edges, we analytically analyze the performance of the detection system and compare its performance with the performance of the distributed cell-averaging (CA) CFAR detection system
Keywords :
clutter; probability; radar detection; radar signal processing; sensor fusion; statistics; clutter edges; data fusion; decentralized CFAR detection; distributed constant false alarm rate detection; global probability of detection; homogeneous Gaussian background; local detectors; multiple targets; nonhomogeneous Gaussian background; order statistics; threshold multipliers; Background noise; Data engineering; Gas detectors; Noise level; Performance analysis; Probability; Sensor fusion; Sensor systems; Statistics; Testing;
Conference_Titel :
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-1760-2
DOI :
10.1109/MWSCAS.1993.343044
