Results 31 to 40 of about 6,799,249 (280)

Statistical Properties of Energy Detection for Spectrum Sensing by Using Estimated Noise Variance

open access: yesJournal of Sensor and Actuator Networks, 2019
In energy detection for cognitive radio spectrum sensing, the noise variance is usually assumed given, by which a threshold is set to guarantee a desired constant false alarm rate (CFAR) or a constant detection rate (CDR).
Xiao-Li Hu, Pin-Han Ho, Limei Peng
doaj   +1 more source

Constant false alarm rate for a radar data fusion center with n parallel dcar [PDF]

open access: yes, 1990
Email Print Request Permissions The performance of a fusion data center for a network of N radar receivers is analyzed. The total probabilities of detection and false alarm are obtained using a rank fusion rule. A constant false alarm rate operation that
Elias Fusté, Antoni   +1 more
core   +1 more source

Adaptive Suppression Method of LiDAR Background Noise Based on Threshold Detection

open access: yesApplied Sciences, 2023
Background radiation in the LiDAR detection field of view is complex and variable, and the background noise generated can easily cause false alarms in the receiver, which affects the effective detection of the system.
Yan Jiang   +5 more
doaj   +1 more source

Research on a Novel Clutter Map Constant False Alarm Rate Detector Based on Power Transform [PDF]

open access: yesRadioengineering, 2022
A power transform-based clutter map constant false alarm rate (CM/PT-CFAR) algorithm is proposed to improve the detection performance to the weak target in multiple persisting targets situations.
B. Z. Xu, Y. Q. Chen, H. Gu, W. M. Su
doaj  

Performance evaluation of CA-, GO- and SO-CFAR processors in a non-centered Lévy-distributed clutter

open access: yesMajlesi Journal of Electrical Engineering
Constant false alarm rate (CFAR) processors are critical for radar reliable target detection in radar systems. Traditional CFAR designs often assume Gaussian clutter, which may not reflect real-world conditions.
El-Hadi Meftah   +2 more
doaj   +1 more source

Design of a Multi-target Interference Resistant Adaptive Detector under Homogeneous Reverberation Backgrounds

open access: yes水下无人系统学报, 2022
In this study, a new adaptive detector that can resist multi-target interference was proposed to improve the resistance to multi-target interference when using the constant false alarm rate(CFAR) method.
Dong-sheng ZHU   +3 more
doaj   +1 more source

Corrigendum: False alarm rate or false alarm ratio? [PDF]

open access: yes, 2009
Two items need to be clarified from an earlier work of the authors. The first is that the layout of the 2×2 contingency table was reversed from standard practice, with the titles of "observed event" and "forecast" transposed.
Barnes, Lindsey R.   +4 more
core   +1 more source

Multidimensional and Multifunctional Laser‐Induced Graphene (LIG) for Point‐of‐Care and Wearable Biosensing, Theranostics, and Bioactive Interfaces Toward Personalized Healthcare and Regenerative Medicine

open access: yesAdvanced Science, EarlyView.
Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang   +3 more
wiley   +1 more source

Discovering Early‐Stage Gas Generation Kinetics Enables Thermal Runaway Early Warning in Lithium‐Ion Batteries

open access: yesAdvanced Science, EarlyView.
Operando gas diagnostics reveal a previously unrecognized chemical activation (CA) stage during thermal runaway in lithium‐ion batteries. A physics‐informed gas generation kinetics network (GGKNet) is developed to reconstruct reaction pathways and physical models automatically.
Jiabo Zhang   +6 more
wiley   +1 more source

A CFAR-Enhanced Spectral Whitening Method for Acoustic Sensing via UAVs

open access: yesDrones, 2017
The following paper addresses the issue of performing CFAR detection on signals with colored noise distributions, such as that found when performing acoustic sensing via UAVs.
Brendan Harvey, Siu O’Young
doaj   +1 more source

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