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Learning to Detect with Constant False Alarm Rate
2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC), 2022 We consider the use of machine learning for hypothesis testing with an emphasis on target detection. Classical model-based solutions rely on comparing likelihoods. These are sensitive to imperfect models and are often computationally expensive.
Tzvi Diskin, Uri Okun, Ami Wiesel
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A constant-false-alarm-rate algorithm [PDF]
Linear Algebra and its Applications, 1992 Given a stationary scene, the problem is to determine whether or not a particular optical target is located in the scene. Let an \(m*N\) data matrix \(X\) represent the digital image scene to be tested and let \(\hat X=\omega^{-2}[X\circledast W]\), where \(W\) is an \(\omega\) by \(\omega\) all ones matrix and \(\circledast\) denotes discrete ...
Bunch, James R., Fierro, Ricardo D.
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Adaptive Constant False Alarm Detector Based on Composite Fuzzy Fusion Rules
Applied SciencesIn order to improve the detection performance of the radar constant false alarm detector in a multiple-target environment, a Kaigh–Lachenbruch Quantile constant false alarm rate detector based on composite fuzzy fusion rules (CFKLQ-CFAR) is designed by ...
Yuyao Yang, Chunbo Xiu
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Hypothesis Testing and Decision Making: Constant-False-Alarm-Rate Detection
IEEE Antennas and Propagation Magazine, 2009 Detection is the first task in establishing a communication link, or tracking a target with a radar system. This is a decision-making problem, and it is performed through a hypothesis-testing procedure. Hypothesis testing is nothing but constant-false-alarm-rate (CFAR) detection. These issues are reviewed, and simple MATLABtrade codes are presented.
Sevgi, Levent
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The Journal of Engineering, 2019 The detection of weak monocycle sinusoidal signals is the abstract problem of the weak transient signal detection in many engineering applications. A low constant false alarm rate is often required on some occasions with serious false alarm consequences,
Bo Tan, Jingbo Guo, Guang Chang
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Induction machine faults detection based on a constant false alarm rate detector [PDF]
IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, 2016 This paper presents a novel approach for induction machine condition monitoring using stator current measurements. The proposed method, based on hypothesis testing, specifically investigates a binary detection problem: the machine is healthy or faulty.
Youness Trachi +4 more
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Clutter Map Constant False Alarm Rate Mixed with the Gabor Transform for Target Detection via Monte Carlo Simulation [PDF]
Applied SciencesRadar detection is a technology frequently used to detect objects and measure the range, angle, or velocity of those objects. Several studies have been performed to improve the accuracy and performance of detection methods, but they encountered a strong ...
Abdel Hamid Mbouombouo Mboungam +2 more
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Journal of Marine Science and EngineeringAchieving reliable target detection in the field of sonar imagery represents a significant challenge due to the complex underwater interference patterns characterized by speckle noise, tunnel effects, and low-signal-to-noise ratio (SNR) environments ...
Wankai Na +5 more
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False Alarm Analysis of the CATM-CFAR in Presence of Clutter Edge
Radioengineering, 2014 This paper presents a false alarm analysis of the cell-averaging-trimmed-mean constant false alarm rate (CATM-CFAR) detector in the presence of clutter edge. Structure of the CATM-CFAR detector is described briefly.
D. Ivković, M. Andrić, B. Zrnić
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Cfarnet: Deep Learning for Target Detection with Constant False Alarm Rate
Signal Processing, 2023 arXiv admin note: substantial text overlap with arXiv:2206 ...
Tzvi Diskin +3 more
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