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Your search keyword '"clutter detection"' showing total 2 results
Start Over Descriptor "clutter detection" Topic clutter
2 results on '"clutter detection"'

1. Ground Clutter Detection for Weather Radar Using Phase Fluctuation Index.

Author

Golbon-Haghighi, Mohammad-Hossein, Zhang, Guifu, and Doviak, Richard J.

Subjects
*RADAR meteorology, *CLUTTER (Radar), *RADAR signal processing
Abstract

Our aim, in this paper, is to develop a clutter detection algorithm to provide more representative weather radar observations. The new discriminant function based on the phase fluctuation index (PFI) is introduced to achieve a better performance for clutter detection algorithms. Statistical properties of the PFI for pure weather and ground clutter are presented. A Bayesian classifier is used to make an optimal decision to detect clutter mixed with weather echoes. The performance improvements are demonstrated by applying the PFI detection algorithm to radar data collected by a WSR-88D polarimetric weather radar. Our proposed clutter detection algorithm is compared to several other detection algorithms and reveals the PFI algorithm yields the highest probability of detection. [ABSTRACT FROM AUTHOR]

Published
2019
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2. Detection of Ground Clutter from Weather Radar Using a Dual-Polarization and Dual-Scan Method

Author

Mohammad-Hossein Golbon-Haghighi, Yinguang Li, Richard J. Doviak, and Guifu Zhang

Subjects
Atmospheric Science, 010504 meteorology & atmospheric sciences, Computer science, clutter detection, Polarimetry, 02 engineering and technology, Environmental Science (miscellaneous), lcsh:QC851-999, 01 natural sciences, Statistical power, law.invention, Constant false alarm rate, Naive Bayes classifier, law, weather radar, 0202 electrical engineering, electronic engineering, information engineering, Radar, dual-polarization and dual-scan (DPDS), 0105 earth and related environmental sciences, Remote sensing, polarimetry, 020206 networking & telecommunications, Bayesian classifications, Dual-polarization interferometry, Clutter, Weather radar, lcsh:Meteorology. Climatology
Abstract

A novel dual-polarization and dual-scan (DPDS) classification algorithm is developed for clutter detection in weather radar observations. Two consecutive scans of dual-polarization radar echoes are jointly processed to estimate auto- and cross-correlation functions. Discriminants are then defined and estimated in order to separate clutter from weather based on their physical and statistical properties. An optimal Bayesian classifier is used to make a decision on clutter presence from the estimated discriminant functions. The DPDS algorithm is applied to the data collected with the KOUN polarimetric radar and compared with the existing detection methods. It is shown that the DPDS algorithm yields a higher probability of detection and lower false alarm rate in clutter detection.

Published
2016

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