Detection of Ground Clutter from Weather Radar Using a Dual-Polarization and Dual-Scan Method

Golbon-Haghighi, Mohammad-Hossein; Zhang, Guifu; Li, Yinguang; Doviak, Richard

doi:10.3390/atmos7060083

i

Detection of Ground Clutter from Weather Radar Using a Dual-Polarization and Dual-Scan Method

2016
By Golbon-Haghighi, Mohammad-Hossein ; Zhang, Guifu ; Li, Yinguang ; Doviak, Richard
Source: Atmosphere 2016, 7(6), 83

Details

Journal Title:

Atmosphere
Personal Author:

Golbon-Haghighi, Mohammad-Hossein ; Zhang, Guifu ; Li, Yinguang ; Doviak, Richard
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; NSSL (National Severe Storms Laboratory) ; CIMMS (Cooperative Institute for Mesoscale Meteorological Studies)
Description:

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.
Subjects:
Source:

Atmosphere 2016, 7(6), 83
DOI:

https://doi.org/10.3390/atmos7060083
Document Type:

Journal Article
Funding:

Grant no. NA11OAR4320072
Rights Information:

CC BY
Compliance:

Submitted
Download URL:

https://repository.library.noaa.gov/view/noaa/32180/noaa_32180_DS1.pdf
File Type:

[PDF - 2.10 MB]
Collection(s):

Office of Oceanic and Atmospheric Research (OAR) ; NOAA Cooperative Institutes
Main Document Checksum:

urn:sha256:96f6b62d73448be7033c42d6a8e7800a6ec100dd322d3bf5b07cfdff63f184a1

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