Results 1 to 10 of about 9,802 (153)
Constant false alarm rate detection of pipeline leakage based on acoustic sensors [PDF]
Scientific Reports, 2023 During the transportation of oil and gas pipelines, there are many potential factors that can lead to pipeline leakage with serious consequences, making automatic and real-time pipeline leakage detection urgent. In response to the inconvenience of manual
Guorui An, Zuheng Huang, Yanbing Li
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Compressive cyclostationary spectrum sensing with a constant false alarm rate [PDF]
EURASIP Journal on Wireless Communications and Networking, 2017 Spectrum sensing is a crucial component of opportunistic spectrum access schemes, which aim at improving spectrum utilization by allowing for the reuse of idle licensed spectrum. Sensing a spectral band before using it makes sure the legitimate users are
Andreas Bollig +3 more
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Constant False Alarm Rate Sound Source Detection with Distributed Microphones [PDF]
EURASIP Journal on Advances in Signal Processing, 2011 Applications related to distributed microphone systems are typically initiated with sound source detection. This paper introduces a novel method for the automatic detection of sound sources in images created with steered response power (SRP) algorithms.
Jingjing Yu +2 more
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Book Review. Why Constant False Alarm Rate? [PDF]
International Journal BioautomationThе book presents the algorithms that ensure the maintenance of a constant false alarm rate (CFAR detectors) in the detection of radar targets in conditions of an intensively noisy environment.
Ivan Popchev
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Impact of Covariance Mismatched Training Samples on Constant False Alarm Rate Detectors [PDF]
IEEE Transactions on Signal Processing, 2021 The framework of this paper is that of adaptive detection in Gaussian noise with unknown covariance matrix when the training samples do not share the same covariance matrix as the vector under test. We consider a class of constant false alarm rate detectors which depend on two statistics $(β,\ttilde)$ whose distribution is parameter-free in the case of
Olivier Besson
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A new distributed constant false alarm rate detector
IEEE Transactions on Aerospace and Electronic Systems, 1997 A new constant false alarm rate (CFAR) test termed signal-plus-order statistic CFAR (S+OS) using distributed sensors is developed. The sensor modeling assumes that the returns of the test cells of different sensors are all independent and identically distributed In the S+OS scheme, each sensor transmits its test sample and a designated order statistic ...
Amirmehrabi, Hamid, Viswanathan, R.
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REVIEW OF RADAR DETECTORS WITH CONSTANT FALSE ALARM RATE
Telemática, 2020 Radar detection in environments with high spatial and temporal variability is an issue of great importance. Many efforts are devoted to the development of adaptive techniques that allow robust operation for all possible scenarios.
Camilo Guillén Soriano
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An Energy Detection Algorithm with Clustering-Based False Alarm Suppression for Magnetic Anomaly Detection [PDF]
SensorsTo overcome the limitations of Orthonormal Basis Function (OBF) methods in magnetic anomaly detection, including high false alarm rates and ambiguous target localization due to background noise, this paper introduces a high-confidence detection algorithm
Jinghua Yu, Changping Du, Xiang Peng
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Constant false alarm rate detectors for pareto clutter models
IET Radar, Sonar and Navigation, 2013 Pareto distribution has been introduced into the radar community recently as a suitable model for X‐band high resolution maritime sea clutter returns. This intensity clutter model is a simple two parameter power law distribution. It is thus important to consider the development of constant false alarm rate detection processes for targets embedded ...
Graham V Weinberg
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Semiparametric constant false alarm rate method for radar and sonar images
Electronics LettersThis work proposed a novel constant false alarm rate detection method based on Gaussian mixture model (GMM). The main contribution contains two aspects. First, the Gabor wavelet is used to determine the GMM component number.
Ke Li, Peng Zhang, Ziyuan Yang
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