Results 31 to 40 of about 10,957 (282)
Adaptive Suppression Method of LiDAR Background Noise Based on Threshold Detection
Applied 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]
Radioengineering, 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
Majlesi Journal of Electrical EngineeringConstant 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
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
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
doaj +1 more source
A versatile hardware architecture for a constant false alarm rate processor based on a linear insertion sorter [PDF]
, 2010 Constant False Alarm Rate (CFAR) algorithms are used in digital signal processing applications to extract targets from background in noisy environments.
JOSE ROBERTO PEREZ ANDRADE +3 more
core
Wavelength-resolution SAR change detection with constant false alarm rate
, 2017 The paper introduces an incoherent change detection algorithm with constant false alarm rate (CFAR). The algorithm is based on a CFAR detector that preceded with an adaptive noise smoothing filter while the input of the filter is preliminary changes ...
Viet T. Vu +9 more
core +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, EarlyView.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Constant False Alarm Rate Detection In Spherically Invariant Random Processes
, 2004 Publication in the conference proceedings of EUSIPCO, Viena, Austria ...
Pascal, Frédéric +3 more
openaire +3 more sources