Staggered-PRT Sequences for Doppler Weather Radars. Part I: Spectral Analysis Using the Autocorrelation Spectral Density

Details

• Journal Title:
  Journal of Atmospheric and Oceanic Technology
• Personal Author:
  Torres, Sebastián M. ; Warde, David A.
• NOAA Program & Office:
  OAR (Oceanic and Atmospheric Research) ; NSSL (National Severe Storms Laboratory) ; CIMMS (Cooperative Institute for Mesoscale Meteorological Studies)
• Description:
  The autocorrelation spectral density (ASD) was introduced as a generalization of the classical periodogram-based power spectral density (PSD) and as an alternative tool for spectral analysis of uniformly sampled weather radar signals. In this paper, the ASD is applied to staggered pulse repetition time (PRT) sequences and is related to both the PSD and the ASD of the underlying uniform-PRT sequence. An unbiased autocorrelation estimator based on the ASD is introduced for use with staggered-PRT sequences when spectral processing is required. Finally, the strengths and limitations of the ASD for spectral analysis of staggered-PRT sequences are illustrated using simulated and real data.
• Keywords:
  Algorithms Data Processing Filtering Techniques Radars/Radar Observations Spectral Analysis/models/distribution Data Processing Filtering Techniques Radars/Radar Observations Spectral Analysis/Models/Distribution
• Source:
  Journal of Atmospheric and Oceanic Technology, 34(1), 51-63
• DOI:
  https://doi.org/10.1175/JTECH-D-16-0071.1
• Document Type:
  Journal Article
• Funding:
  Grant no. NA11OAR4320072
• Rights Information:
  Other
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha256:0eed55ea72d30a7333c82da3677fcab34a96be6a020c0178ffb407136d0d8f0f
• Download URL:
  https://repository.library.noaa.gov/view/noaa/32317/noaa_32317_DS1.pdf
• File Type:
  [PDF - 1.70 MB ]