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The constant false alarm rate property in transformed noncoherent detection processes
Digital Signal Processing, 2016Abstract Recently a transformation approach for noncoherent radar detector design has been introduced, where the classical constant false alarm rate detectors for Exponentially distributed clutter are modified to operate in any clutter intensity model of interest.
Graham V Weinberg
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Geometric mean switching constant false alarm rate detector
Digital Signal Processing, 2017Abstract Switching based detectors provide a robust solution to the problem of managing interference in sliding window detection processes. Recent developments have shown how such a detector can be formulated for the case of target detection in Pareto distributed clutter, which is a new model for X-band maritime surveillance radar clutter returns ...
Graham V Weinberg
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Normalized residual-based constant false-alarm rate outlier detection
Pattern Recognition Letters, 2016Abstract Outlier detection is an important issue in machine learning and knowledge discovery. The aim is to find the patterns that deviate too much from others. In this paper, we consider constant false-alarm rate (CFAR) outlier detection, and propose a supervised detection method based on normalized residual (NR).
Wenli Jiang
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Generalized Censored Cell Averaging Constant False Alarm Rate Processors
2020 28th Signal Processing and Communications Applications Conference (SIU), 2020In this study, a new constant false alarm rate (CFAR) processor has been developed to increase the probability of detection in nonhomogeneous environment and its comparative performance analysis with different censorship techniques given in the literature have been investigated.
Akaydin, Abdullah +1 more
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Constant False Alarm Rate Detectors
, 2010 The process of detecting a target begins with comparing a radar measurement with a threshold. Measurements exceeding the threshold are associated with returns from a target, and measurements below the threshold are associated with thermal noise or other interference sources including intentional jamming and background returns from terrain and bodies of
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Constant false alarm rate detection of saccadic eye movements in electro-oculography
Computer Methods and Programs in Biomedicine, 2009The analysis of eye movements has proven to be valuable in both clinical work and research as well as in other fields besides medicine. The detection of saccadic eye movements and the extraction of related saccade parameters, such as maximum angular velocity, amplitude, and duration, are usually performed during the analysis of electro-oculographic ...
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A Design Generator of Parametrizable and Runtime Configurable Constant False Alarm Rate Processors
2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS), 2021 Constant false alarm rate (CFAR) algorithms are widely used in radar signal processing for object detection in cluttered and noisy environments and their fast hardware implementation is required in many of the real time applications.
Marija L. Petrovic +1 more
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Radar detection in the moments space with constant false alarm rate
Digital Signal Processing, 2021Abstract Radar detection in environments where the power and variability of interference hinders the location of targets is of great importance. Many efforts are directed towards the development of adaptive techniques that process the eco-signals in order to increase the detection quality and to maintain a constant false alarm rate (CFAR).
Camilo Guillén +2 more
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Online anomaly detection with constant false alarm rate
2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP), 2015We propose a computationally highly scalable online anomaly detection algorithm for time series, which achieves with no parameter tuning a specified false alarm rate while minimizing the miss rate. The proposed algorithm sequentially operates on a fast streaming temporal data, extracts the nominal attributes under possibly varying Markov statistics and
Huseyin Ozkan +3 more
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Constant false alarms rate for fault detection
2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B), 2017Fault detection needs to be accurate and precise to make right decisions about the systems operation status, unfortunately, monitoring processes via multivariate statistical control (MSPC) such as principal component analysis (PCA) arises the problem of false alarms. One solution to this problem is to increase the confidence intervals of the monitoring
Mustapha Ammiche, Abdelmalek Kouadri
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