A Nonlinear Transform-Based Variability Index CFAR Detector for Doppler-Extended Targets [PDF]
SensorsIn frequency-modulated continuous-wave (FMCW) radar systems, the detection of Doppler-extended targets (DETs) is a critical challenge. The micro-Doppler effects induced by the motion of extended targets such as pedestrians cause the echo energy to spread
Lin Cao +4 more
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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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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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Robust CFAR Detector With Ordered Statistic of Sub-Reference Cells in Multiple Target Situations
IEEE Access, 2022 Herein, a robust constant false alarm rate (CFAR) detector with ordered statistic of sub-reference cells (OSS-CFAR) is proposed in multiple target situations. This detector can improve background level estimation and reduce computational complexity using
Taehee Jeong +3 more
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Modified rank sum nonparametric CFAR to combat clutter edge
EURASIP Journal on Advances in Signal Processing, 2023 The classical rank sum (RS) nonparametric constant false alarm rate (CFAR) detector plays an important role in the theoretical study and practical application of radar target detection.
Meng Xiangwei, Meng Yuan
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A Low-Complexity Radar Detector Outperforming OS-CFAR for Indoor Drone Obstacle Avoidance
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 As radar sensors are being miniaturized, there is a growing interest for using them in indoor sensing applications such as indoor drone obstacle avoidance.
Ali Safa +7 more
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IET Signal Processing, 2023 In this paper, attention is devoted to the analysis of the detection threshold based on the multi‐frame integration in heavy‐tailed clutter for the radar with high resolution and even smaller grazing angle.
Chenghu Cao, Yongbo Zhao
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An Adaptive Autogram Approach Based on a CFAR Detector for Incipient Cavitation Detection
Sensors, 2020 Cavitation failure often occurs in centrifugal pumps, resulting in severe harm to their performance and life-span. Nowadays, it has become crucial to detect incipient cavitation ahead of cavitation failure.
Ning Chu +6 more
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Smallest Of-Order Statistic-CFAR Analysis in Weibull Clutter [PDF]
Engineering and Technology Journal, 2005 The performance of Cell Averaging Constant False Alarm Rate (CA-CFAR) degrades rapidly in nonideal conditions caused by the presence of a strong target signal in one of the reference cells.
Y. Ali
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A CFAR‐like detector based on neural network for simulated high‐frequency surface wave radar data
IET Radar, Sonar & Navigation, 2023 This article presents a deep neural network‐based constant false alarm rate (NNB‐CFAR) detector for simulated high‐frequency surface wave radar (HFSWR) data.
Rômulo Fernandes daCosta +3 more
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