@inproceedings{17e039e0aa074043a029d44df23bcc29,
title = "Decentralized CFAR detection based on order statistics",
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.",
author = "Uner, {Mucahit K.} and Varshney, {Pramod K.}",
year = "1993",
language = "English (US)",
isbn = "0780317610",
series = "Midwest Symposium on Circuits and Systems",
publisher = "IEEE Computer Society",
pages = "146--149",
booktitle = "Midwest Symposium on Circuits and Systems",
address = "United States",
note = "Proceedings of the 36th Midwest Symposium on Circuits and Systems ; Conference date: 16-08-1993 Through 18-08-1993",
}