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 ...Show MoreMetadata
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.
Published in: IEEE Transactions on Geoscience and Remote Sensing ( Volume: 57, Issue: 5, May 2019)
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- IEEE Keywords
- Index Terms
- Phase Fluctuations ,
- Weather Radar ,
- Ground Clutter ,
- Clutter Detection ,
- Linear Discriminant Analysis ,
- Detection Probability ,
- Bayesian Classifier ,
- Optimal Decision ,
- Polarimetric Radar ,
- False Negative ,
- True Positive ,
- Performance Of Algorithm ,
- Probability Density Function ,
- Cross-correlation ,
- Detection Performance ,
- Fitness Function ,
- Weather Data ,
- Elevation Angle ,
- Blue Points ,
- Vertical Polarization ,
- Intensity Resolution ,
- Joint Probability Density Function ,
- Spectrum Width ,
- Precipitation Type
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Phase Fluctuations ,
- Weather Radar ,
- Ground Clutter ,
- Clutter Detection ,
- Linear Discriminant Analysis ,
- Detection Probability ,
- Bayesian Classifier ,
- Optimal Decision ,
- Polarimetric Radar ,
- False Negative ,
- True Positive ,
- Performance Of Algorithm ,
- Probability Density Function ,
- Cross-correlation ,
- Detection Performance ,
- Fitness Function ,
- Weather Data ,
- Elevation Angle ,
- Blue Points ,
- Vertical Polarization ,
- Intensity Resolution ,
- Joint Probability Density Function ,
- Spectrum Width ,
- Precipitation Type
- Author Keywords