Distributed cfar detection in homogeneous and nonhomogeneous backgrounds

Mücahit K. Üner; Pramod K. Varshney

doi:10.1109/7.481251

Distributed cfar detection in homogeneous and nonhomogeneous backgrounds

Mücahit K. Üner, Pramod K. Varshney

Department of Electrical Engineering & Computer Science

Research output: Contribution to journal › Article › peer-review

59 Scopus citations

Abstract

The performance of distributed constant false alarm rate (CFAR) detection with data fusion both in homogeneous and nonhomogeneous Gaussian backgrounds is analyzed. The ordered statistics (OS) CFAR detectors are employed as local detectors. With a Swerling type I target model, in the homogeneous background, the global probability of detection for a given fixed global probability of false alarm is maximized 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, the performance of the detection system is analyzed and its performance is compared with the performance of the distributed cell-averaging (CA) CFAR detection system.

Original language	English (US)
Pages (from-to)	84-97
Number of pages	14
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	32
Issue number	1
DOIs	https://doi.org/10.1109/7.481251
State	Published - 1996

ASJC Scopus subject areas

Aerospace Engineering
Electrical and Electronic Engineering

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abstract = "The performance of distributed constant false alarm rate (CFAR) detection with data fusion both in homogeneous and nonhomogeneous Gaussian backgrounds is analyzed. The ordered statistics (OS) CFAR detectors are employed as local detectors. With a Swerling type I target model, in the homogeneous background, the global probability of detection for a given fixed global probability of false alarm is maximized 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, the performance of the detection system is analyzed and its performance is compared with the performance of the distributed cell-averaging (CA) CFAR detection system.",

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note = "Funding Information: This research was sponsored in part by the Air Force Office of Scientific Research, Air Force Systems Command, USAF, Grant F49620-93-1-0122.",

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AB - The performance of distributed constant false alarm rate (CFAR) detection with data fusion both in homogeneous and nonhomogeneous Gaussian backgrounds is analyzed. The ordered statistics (OS) CFAR detectors are employed as local detectors. With a Swerling type I target model, in the homogeneous background, the global probability of detection for a given fixed global probability of false alarm is maximized 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, the performance of the detection system is analyzed and its performance is compared with the performance of the distributed cell-averaging (CA) CFAR detection system.

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Distributed cfar detection in homogeneous and nonhomogeneous backgrounds

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