Results 1 to 10 of about 7,204,358 (165)

Constant false alarm rate detection of pipeline leakage based on acoustic sensors [PDF]

open access: yesScientific 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
doaj   +3 more sources

Robust Truncated Statistics Constant False Alarm Rate Detection of UAVs Based on Neural Networks

open access: yesDrones
With 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   +4 more sources

The improved constant false alarm rate detector based on multi‐frame integration for fluctuating target detection in heavy‐tailed clutter

open access: yesIET 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
doaj   +2 more sources

A Nonlinear Transform-Based Variability Index CFAR Detector for Doppler-Extended Targets [PDF]

open access: yesSensors
In 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
doaj   +2 more sources

Restoring CFAR Validity for Single-Channel IoT Sensor Streams: A Monte Carlo Comparison of CFAR-Family and Sequential Detectors Under Cortex-M0+ Constraints [PDF]

open access: yesSensors
Real-time event detection in IoT mesh sensor networks must balance sensitivity against the false-positive load placed on a constrained mesh radio. We present a Monte Carlo comparison of the Temporal Spectral Noise-Floor Adaptation (TSNFA) detector ...
Sergii Makovetskyi   +3 more
doaj   +2 more sources

An Energy Detection Algorithm with Clustering-Based False Alarm Suppression for Magnetic Anomaly Detection [PDF]

open access: yesSensors
To 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
doaj   +2 more sources

A constant false alarm rate (CFAR) detector for RADARSAT-2 along-track interferometry

open access: yesCanadian Journal of Remote Sensing, 2005
Canada's RADARSAT-2 synthetic aperture radar (SAR) satellite will be equipped with an experimental ground moving target indication (GMTI) mode, which makes use of the "dual-receive" capability of the RADARSAT-2 antenna to provide two apertures aligned in the along-track direction.
Shen Chiu
exaly   +2 more sources

Robust CFAR Detector With Ordered Statistic of Sub-Reference Cells in Multiple Target Situations

open access: yesIEEE 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
doaj   +1 more source

Modified rank sum nonparametric CFAR to combat clutter edge

open access: yesEURASIP 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
doaj   +1 more source

A Low-Complexity Radar Detector Outperforming OS-CFAR for Indoor Drone Obstacle Avoidance

open access: yesIEEE 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
doaj   +1 more source

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