Editorial Type:
Article
Article Type:
Research Article

Staggered-PRT Sequences for Doppler Weather Radars. Part II: Ground Clutter Mitigation on the NEXRAD Network Using the CLEAN-AP Filter

David A. Warde Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, and NOAA/OAR/National Severe Storms Laboratory, Norman, Oklahoma

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Sebastián M. Torres Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, and NOAA/OAR/National Severe Storms Laboratory, Norman, Oklahoma

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Print Publication:
01 Mar 2017
DOI:
https://doi.org/10.1175/JTECH-D-16-0072.1
Page(s):
703–716
Restricted access

Abstract

The staggered–pulse repetition time (SPRT) technique has been shown to be effective at mitigating range and velocity ambiguities; however, mitigation of ground clutter contamination for SPRT sequences has proven to be more challenging. Using the properties of the autocorrelation spectral density, the Clutter Environment Analysis using Adaptive Processing (CLEAN-AP) filter is extended to SPRT sequences for its implementation on the U.S. Next Generation Weather Radar (NEXRAD) network. The performance of the CLEAN-AP filter for SPRT sequences is characterized and illustrated with simulations and real data. The study shows that the proposed ground clutter filter meets NEXRAD operational performance requirements for ground clutter mitigation.

Denotes content that is immediately available upon publication as open access.

© 2017 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author e-mail: David Warde, david.a.warde@noaa.gov

Abstract

The staggered–pulse repetition time (SPRT) technique has been shown to be effective at mitigating range and velocity ambiguities; however, mitigation of ground clutter contamination for SPRT sequences has proven to be more challenging. Using the properties of the autocorrelation spectral density, the Clutter Environment Analysis using Adaptive Processing (CLEAN-AP) filter is extended to SPRT sequences for its implementation on the U.S. Next Generation Weather Radar (NEXRAD) network. The performance of the CLEAN-AP filter for SPRT sequences is characterized and illustrated with simulations and real data. The study shows that the proposed ground clutter filter meets NEXRAD operational performance requirements for ground clutter mitigation.

Denotes content that is immediately available upon publication as open access.

© 2017 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author e-mail: David Warde, david.a.warde@noaa.gov
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Journal of Atmospheric and Oceanic Technology

  • Anderson, J. R., 1981: Evaluating ground clutter filters for weather radars. Preprints, 20th Conf. on Radar Meteorology, Boston, MA, Amer. Meteor. Soc., 314–318.

  • Banjanin, Z. B., and D. S. Zrnić, 1991: Clutter rejection for Doppler weather radars which use staggered pulses. IEEE Trans. Geosci. Remote Sens., 29, 610–620, doi:10.1109/36.135823.

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Chrisman, J., D. Rinderknecht, and R. Hamilton, 1995: WSR-88D clutter suppression and its impact on meteorological data interpretation. Radar Operations Center, 14 pp. [Available online at http://www.wdtb.noaa.gov/buildTraining/papers/clutter/CLUTTER.pdf.]

  • Ice, R., D. Warde, D. Sirmans, and D. Rachel, 2004: Report on Open RDA: RVP-8 signal processing. Part I: simulation study. WSR-88D Radar Operations Center Rep., 87 pp.

  • Jing, Z., and G. Wiener, 1993: Two-dimensional dealiasing of Doppler velocities. J. Atmos. Oceanic Technol., 10, 798–808, doi:10.1175/1520-0426(1993)010<0798:TDDODV>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Moisseev, D. N., C. M. Nguyen, and V. Chandrasekar, 2008: Clutter suppression for staggered PRT waveforms. J. Atmos. Oceanic Technol., 25, 2209–2218, doi:10.1175/2008JTECHA1096.1.

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Nguyen, C. M., and V. Chandrasekar, 2013: Gaussian model adaptive processing in time domain (GMAP-TD) for weather radars. J. Atmos. Oceanic Technol., 30, 2571–2584, doi:10.1175/JTECH-D-12-00215.1.

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Sachidananda, M., and D. S. Zrnić, 2000: Clutter filtering and spectral moment estimation for Doppler weather radars using staggered pulse repetition time (PRT). J. Atmos. Oceanic Technol., 17, 323–331, doi:10.1175/1520-0426(2000)017<0323:CFASME>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Siggia, A. D., and R. E. Passarelli Jr., 2004: Gaussian model adaptive processing (GMAP) for improved ground clutter cancellation and moment calculation. Proceedings of ERAD: Third European Conference on Radar Meteorology, ERAD Publication Series, Vol. 2, Copernicus, 67–73.

  • Sirmans, D., 1992: Clutter filtering in the WSR-88D. OSF Tech. Rep., 142 pp.

  • Torres, S., 2006: Range and velocity ambiguity mitigation on the WSR-88D: Performance of the staggered PRT algorithm. 22nd Int. Conf. on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, Atlanta, GA, Amer. Meteor. Soc., 9.9. [Available online at https://ams.confex.com/ams/Annual2006/techprogram/paper_103695.htm.]

  • Torres, S., and D. Warde, 2014: Ground clutter mitigation for weather radars using the autocorrelation spectral density. J. Atmos. Oceanic Technol., 31, 2049–2066, doi:10.1175/JTECH-D-13-00117.1.

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Torres, S., and D. Warde, 2017: Staggered-PRT sequences for Doppler weather radars. Part I: Spectral analysis using the autocorrelation spectral density. J. Atmos. Oceanic Technol., 34, 51–63, doi:10.1175/JTECH-D-16-0071.1.

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Torres, S., D. S. Zrnić, and R. J. Doviak, 1998: Ground clutter canceling with a regression filter. NSSL Interim Rep., 37 pp. [Available online at http://cimms.ou.edu/~torres/Documents/Report - Ground clutter canceling with a regression filter.pdf.]

  • Torres, S., Y. Dubel, and D. S. Zrnić, 2004: Design, implementation, and demonstration of a staggered PRT algorithm for the WSR-88D. J. Atmos. Oceanic Technol., 21, 1389–1399, doi:10.1175/1520-0426(2004)021<1389:DIADOA>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Torres, S., D. Zittel, and D. Saxion, 2009a: Update on deployment of staggered PRT for the NEXRAD network. 25th Conf. on Int. Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, Phoenix, AZ, Amer. Meteor. Soc., 11B.2. [Available online at https://ams.confex.com/ams/89annual/techprogram/paper_146154.htm.]

  • Torres, S., D. Warde, and D. Zrnić, 2009b: Signal design and processing techniques for WSR-88D ambiguity resolution. Part 12: Staggered PRT updates and generalized phase codes, NOAA, 156 pp. [Available online at http://cimms.ou.edu/~torres/Documents/NSSL Ambiguity Report - Part 12.pdf.]

  • Torres, S., D. Warde, and D. Zrnić, 2010a: Signal design and processing techniques for WSR-88D ambiguity resolution. Part 13: Staggered PRT updates, NOAA, 142 pp. [Available online at http://cimms.ou.edu/~torres/Documents/NSSL Ambiguity Report - Part 13.pdf.]

  • Torres, S., D. Warde, B. Gallardo, K. Le, and D. Zrnić, 2010b: Signal design and processing techniques for WSR-88D ambiguity resolution. Part 14: Staggered PRT algorithm updates, the CLEAN-AP filter, and the hybrid spectrum width estimator, NOAA, 145 pp. [Available online at http://cimms.ou.edu/~torres/Documents/NSSL Ambiguity Report - Part 14.pdf.]

  • Warde, D., and S. Torres, 2009: Range overlaid staggered PRT. 25th Conf. on Int. Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, Phoenix, AZ, Amer. Meteor. Soc., P2.2. [Available online at https://ams.confex.com/ams/89annual/webprogram/Paper146269.html.]

  • Warde, D., and S. Torres, 2014: The autocorrelation spectral density for Doppler-weather-radar signal analysis. IEEE Trans. Geosci. Remote Sens., 52, 508–518, doi:10.1109/TGRS.2013.2241775.

    • Crossref
    • Search Google Scholar
    • Export Citation

  • Warde, D., S. Torres, R. Ice, and A. Heck, 2014: Deployment of the staggered PRT algorithm on the NEXRAD network. 30th Conf. on Environmental Information Processing Technologies, Atlanta, GA, Amer. Meteor. Soc., 5.4. [Available online at https://ams.confex.com/ams/94Annual/webprogram/Paper237155.html.]

  • Zittel, W. D., and Z. Jing, 2012: Comparison of a 2-D velocity dealiasing algorithm to the legacy WSR-88D velocity dealiasing algorithm during Hurricane Irene. 30th Conf. on Hurricanes, Ponte Vedra Beach, FL, Amer. Meteor. Soc., 7C.7. [Available online at https://ams.confex.com/ams/30Hurricane/webprogram/Paper205076.html.]

  • Zrnić, D., and P. Mahapatra, 1985: Two methods of ambiguity resolution in pulse Doppler weather radars. IEEE Trans. Aerosp. Electron. Syst., AES-21, 470–483, doi:10.1109/TAES.1985.310635.

    • Crossref
    • Search Google Scholar
    • Export Citation
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