Pseudowhitening of weather Radar signals to improve spectral moment and polarimetric variable estimates at low signal-to-noise ratios

2004 ◽  
Vol 42 (5) ◽  
pp. 941-949 ◽  
Author(s):  
S.M. Torres ◽  
C.D. Curtis ◽  
J.R. Cruz
Keyword(s):  
Weather Radar ◽  
Spectral Moment ◽  
Signal To Noise ◽  
Radar Signals

scholarly journals Scan-to-Scan Correlation of Weather Radar Signals to Identify Ground Clutter

2013 ◽  
Vol 10 (4) ◽  
pp. 855-859 ◽  
Author(s):  
Yinguang Li ◽  
Guifu Zhang ◽  
Richard Doviak ◽  
Darcy Saxion
Keyword(s):  
Spatial Resolution ◽  
Correlation Time ◽  
Correlation Method ◽  
Weather Radar ◽  
Detection Algorithm ◽  
Weather Radars ◽  
Ground Clutter ◽  
Radar Echoes ◽  
Radar Signals

The scan-to-scan correlation method to discriminate weather signals from ground clutter, described in this letter, takes advantage of the fact that the correlation time of radar echoes from hydrometeors is typically much shorter than that from ground objects. In this letter, the scan-to-scan correlation method is applied to data from the WSR-88D, and its results are compared with those produced by the WSR-88D's ground clutter detector. A subjective comparison with an operational clutter detection algorithm used on the network of weather radars shows that the scan-to-scan correlation method produces a similar clutter field but presents clutter locations with higher spatial resolution.

scholarly journals Intercomparison of Techniques to Correct for Attenuation of C-Band Weather Radar Signals

1998 ◽  
Vol 37 (8) ◽  
pp. 845-853 ◽  
Author(s):  
Eugenio Gorgucci ◽  
Gianfranco Scarchilli ◽  
V. Chandrasekar ◽  
P. F. Meischner ◽  
M. Hagen
Keyword(s):  
Weather Radar ◽  
Radar Signals

On opportunistic spectrum access in radar bands: Lessons learned from measurement of weather radar signals

2016 ◽  
Vol 23 (3) ◽  
pp. 40-48 ◽  
Author(s):  
Zaheer Khan ◽  
Janne J. Lehtomaki ◽  
Risto Vuohtoniemi ◽  
Ekram Hossain ◽  
Luiz A. Dasilva
Keyword(s):  
Weather Radar ◽  
Lessons Learned ◽  
Opportunistic Spectrum Access ◽  
Spectrum Access ◽  
Radar Signals

scholarly journals Considerations for Oversampling in Azimuth on the Phased Array Weather Radar

2015 ◽  
Vol 32 (9) ◽  
pp. 1614-1629 ◽  
Author(s):  
Lesya Borowska ◽  
Guifu Zhang ◽  
Dusan S. Zrnić
Keyword(s):  
Phased Array ◽  
Weighted Average ◽  
Weather Radar ◽  
Severe Weather ◽  
Spectral Moment ◽  
Spectral Moments ◽  
Severe Storms ◽  
Moment Estimate ◽  
National Network ◽  
Weather Radars

AbstractWhen spectral moments in the azimuth are spaced by less than a beamwidth, it is called oversampling. Superresolution is a type of oversampling that refers to sampling at half a beamwidth on the national network of Doppler weather radars [Weather Surveillance Radar-1988 Doppler (WSR-88D)]. Such close spacing is desirable because it extends the range at which small severe weather features, such as tornadoes or microbursts, can be resolved. This study examines oversampling for phased array radars. The goal of the study is to preserve the same effective beamwidth as on the WSR-88D while obtaining smaller spectral moment estimate errors at the same or faster volume update times. To that effect, a weighted average of autocorrelations of radar signals from three consecutive radials is proposed. Errors in three spectral moments obtained from these autocorrelations are evaluated theoretically. Methodologies on how to choose weights that preserve the desirable effective beamwidth are presented. The results are demonstrated on the fields of spectral moments obtained with the National Weather Radar Testbed (NWRT), a phased array weather radar at NOAA’s National Severe Storms Laboratory (NSSL).

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