Results 251 to 260 of about 10,957 (282)

Constant False Alarm Rate Processors Based on Range Ordered Statistics

2020 28th Signal Processing and Communications Applications Conference (SIU), 2020
Constant false alarm rate (CFAR) processors are used to detect radar targets in the nonstationary background noise distribution with unknown parameters. In this study, a new CFAR processor based on Range Ordered Statistics (ROS) is proposed. In homogeneous background, for a given probability of false alarm, the probability of detection expression of ...
Alperen Elihos, Mücahit K. Üner
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Constant false alarm rate in fire detection for MODIS data

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005
Abstract : This paper introduces the concept of Constant False Alarm Rate (CFAR) in fire detection for multispectral satellite data. A new algorithm is proposed, based on a technique successfully applied for detection of extended objects in High Resolution SAR images.
Maurizio di Bisceglie, Roberto Episcopo, Carmela Galdi, Silvia Liberata Ullo   +3 more
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Automated threshold selection for a constant false alarm rate

SPIE Proceedings, 2003
The utility of Constant False Alarm Rate (CFAR) algorithms is that the selection of a detection threshold may be made independently of image intensity. However, wide application of the algorithms shows that detection values are highly dependent on scene characteristics.
Suzanne P. Stetson, Frank J. Crosby
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Comparative Performance Analysis of Constant False Alarm Rate Processors Based on Order Statistics

, 2019
in this study, the detection performance of constant false alarm rate (CFAR) processors based on reference window cells censoring techniques in nonhomogeneous (interfering targets) environment was investigated. In homogeneous environment, the false alarm
Akaydin, Abdullah, Mucahit Kani Uner, Abdullah Akaydin, ÜNER, MÜCAHİT KANİ   +3 more
exaly   +2 more sources

Constant false alarm rate detection in Pareto Type II clutter

Digital Signal Processing, 2017
Abstract Recent investigations have shown that the Pareto class of models provide a valid approximation for the statistical structure of the backscattering from the sea, for high resolution X-band maritime surveillance radar. This has stimulated the research and development of non-coherent radar detection processes for operation in such a clutter ...
Graham V. Weinberg, Lachlan Bateman, Peta Hayden   +2 more
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Dispersive constant false alarm rate receiver

Proceedings of the IEEE, 1972
Search radars require a constant false alarm rate (CFAR) receiver to compensate for changes in noise and clutter levels. A CFAR circuit is described which uses matched dispersive delay lines flanking a hard limiter. The circuit's operation is discussed and plan-position indicator (PPI) photographs are shown which illustrate its effectiveness.
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Constant False Alarm Rate for Online one Class Svm Learning

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
Many one class SVM applications require online learning technique when time series data are encountered. Most of the existing methods for online SVM learning are based on C SVM without adapting the constraint parameter dynamically as the number of training samples increases.
Xue, Yongjian, Beauseroy, Pierre
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Constant false alarm rate detector based on the maximal reference cell

Digital Signal Processing, 2013
In order to improve the detection performance of constant false alarm rate (CFAR) detectors in multiple targets situations, a CFAR detector based on the maximal reference cell (MRC) named MRC-CFAR is proposed. In MRC-CFAR, a comparison threshold is generated by multiplying the amplitude of MRC by a scaling factor. The number of the reference cells left,
Ren-li Zhang, Weixing Sheng, Xiaofeng Ma, Yubing Han   +3 more
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Constant False Alarm Rate (CFAR) Detection in Weibull Environment

2007 IEEE 15th Signal Processing and Communications Applications, 2007
In this work, the performance of N pulse radar receivers which use Post Integration (PI) and Binary Integration (Bl) algorithms is analysed in homogeneous Weibull environment. It is assumed that the shape parameter of the Weibull distribution is known a priori.
Zeynep Arslan, Muchait K. Uner
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A robust anomaly detection method using a constant false alarm rate approach

Multimedia Tools and Applications, 2020
With the rapid growth of information and communication technologies, the number of security threats in computer networks is substantially increasing; thus, the development of more proactive security warning measures is required. In this work, we propose a new anomaly detection method that operates by decomposing TCP traffic into control and data planes,
Basil AsSadhan, Rayan AlShaalan, Diab M. Diab, Abraham Alzoghaiby, Saleh AlShebeili, Jalal Al-Muhtadi, Hesham Bin-Abbas, Fathi E. Abd El-Samie   +7 more
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