Distributed CFAR detection in homogeneous and nonhomogeneous backgrounds

Uner, Mucahit K.; Varshney, Pramod K.

doi:10.1109/7.481251

Cited by 53 publications

(20 citation statements)

References 8 publications

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“…To circumvent the problem, the Ordered statistics-CFAR (OS-CFAR) detector was proposed by Rohling [4] and consists of selecting an appropriate reference cell to estimate the background clutter power level. Among a considerable number of references, Üner and Varshney proposed in [5] the use of the OS-CFAR detectors as local detectors and distributed OS-CFAR and CA-CFAR schemes were compared in terms of their capability to maintain constant the probability of false alarm (Pfa) in non-homogeneous background. The results showed that the performance of the system improves considerably if the distributed OS-CFAR scheme is used instead of the distributed CA-CFAR scheme.…”

Section: Introductionmentioning

confidence: 99%

OS-CFAR and CMLD threshold optimization in distributed systems using evolutionary strategies

Abdou

Soltani

2007

SIViP

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This paper proposes an improvement of the threshold optimization in distributed ordered statistics constant false alarm rate and censored mean level detector using Evolutionary Strategies (ESs). The target is assumed to be Rayleigh distributed and the observations are independent from sensor to sensor. Two fusion rules; "AND" and "OR" were considered. An ES was tested and a comparison with a genetic algorithm improved by a tournament selection was also analyzed. Among a variety of evolution strategies, the most popular proposed in the literature are the strategy (µ, λ) and the strategy (µ + λ). We proposed an (µ + λ) evolution strategy, by which a self-adaptation mutation is used. The results showed that, although the ES is more difficult to implement and is in a certain manner slower than the GA, it improves the performance of the system.

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Section: Introductionmentioning

confidence: 99%

OS-CFAR and CMLD threshold optimization in distributed systems using evolutionary strategies

Abdou

Soltani

2007

SIViP

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“…In recent years, decentralized detection systems have been widely studied (see [1,[3][4][5][6][9][10][11] and references therein). A distributed radar system with the canonical "parallel topology" is composed of a set of radars located over a geographic area and a fusion center that combines and controls the data sent by each sensor (see Fig.…”

Section: Introductionmentioning

confidence: 99%

Coverage area analysis for decentralized detection in Weibull clutter

Gini

Lombardini

Verrazzani

1999

IEEE Trans. Aerosp. Electron. Syst.

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The performance of a decentralized constant false-alarm rate (CFAR) detection system with data fusion in homogeneous non-Gaussian background is analyzed in terms of ground area covered. The advantages of using a distributed radar system and the differences between the system behavior in Rayleigh clutter and in Weibull clutter are stressed. Notably, the increasing benefit of cooperative decision making when clutter becomes spikier is pointed out. Manuscript received

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“…They have also addressed the adaptive CA-CFAR detector problem for parallel and tandem distributed networks [6]. Distributed OS-CFAR detectors with the AND or the OR fusion rule are considered in [7][8][9]. Distributed detection of signals in non-Gaussian clutter is considered in [10][11].…”

Section: Introductionmentioning

confidence: 99%