Open AccessGround Clutter Filtering Dual-Polarized, Staggered PRT Sequences
Author(s) -
M. Sachidananda,
Dušan S. Zrnić
Publication year - 2006
Publication title -
journal of atmospheric and oceanic technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.774
H-Index - 124
eISSN - 1520-0426
pISSN - 0739-0572
DOI - 10.1175/jtech1904.1
Subject(s) - clutter , differential phase , filter (signal processing) , spectral line , position (finance) , radar , polarimetry , phase (matter) , remote sensing , computation , correlation coefficient , physics , differential (mechanical device) , signal (programming language) , computer science , optics , algorithm , mathematics , geology , statistics , scattering , telecommunications , computer vision , finance , quantum mechanics , astronomy , economics , thermodynamics , programming language
A procedure to filter the ground clutter from a dual-polarized, staggered pulse repetition time (PRT) sequence and recover the complex spectral coefficients of the weather signal is presented. While magnitude spectra are sufficient for estimation of the spectral moments from staggered PRT sequences, computation of differential phase in dual-polarized radars requires recovery of the complex spectra. Herein a method is given to recover the complex spectral coefficients after the ground clutter is filtered. Under the condition of “narrow” spectra, it is possible to recover the differential phase, ΦDP, and the copolar correlation coefficient, ρhv, accurately, in addition to the differential reflectivity, ZDR. The technique is tested on simulated time series and on actual radar data. The efficacy of the method is demonstrated on plan position indicator (PPI) plots of polarimetric variables.