Results 11 to 20 of about 10,957 (282)
A constant-false-alarm-rate algorithm
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.
core +3 more sources
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
openaire +3 more sources
Applications of Cell-Ratio Constant False-Alarm Rate Method in Coherent Doppler Wind Lidar
Atmosphere, 2016 A cell-ratio constant false-alarm rate (CR-CFAR) method for detecting the Doppler frequency shift is proposed to improve the accuracy of velocity measured by coherent Doppler wind lidar (CWL) in low signal-to-noise ratio (SNR) environments.
Hao Zhu +4 more
doaj +2 more sources
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
openaire +2 more sources
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
openaire +2 more sources
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
doaj +4 more sources
Robust Truncated Statistics Constant False Alarm Rate Detection of UAVs Based on Neural Networks
DronesWith the rapid popularity of unmanned aerial vehicles (UAVs), airspace safety is facing tougher challenges, especially for the identification of non-cooperative target UAVs.
Wei Dong, Weidong Zhang
doaj +2 more sources
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
doaj +2 more sources
Applied SciencesAn improved adaptive constant false alarm rate (CFAR) detector based on fuzzy theory is proposed to address the issue of poor detection performance and robustness of the variability index (VI) class CFAR detectors due to the misjudgment of the background
Xudong Yang, Chunbo Xiu
doaj +2 more sources
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
doaj +2 more sources