
Clutter Suppression for Staggered PRT Waveforms
Author(s) -
Dmitri Moisseev,
Cuong M. Nguyen,
V. Chandrasekar
Publication year - 2008
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 - 10.1175/2008jtecha1096.1
Subject(s) - clutter , waveform , range (aeronautics) , computer science , signal (programming language) , parametric statistics , radar , time domain , pulse (music) , remote sensing , environmental science , algorithm , statistics , mathematics , telecommunications , geology , materials science , detector , composite material , computer vision , programming language
This paper presents a clutter suppression methodology for staggered pulse repetition time (PRT) observations. It is shown that spectral moments of precipitation echoes can be accurately estimated even in cases where clutter-to-signal ratios are high by using a parametric time domain method (PTDM). Based on radar signal simulations, the accuracy of the proposed method is evaluated for various observation conditions. The performance of PTDM is demonstrated by the implementation of the staggered PRT at the Colorado State University–University of Chicago–Illinois State Water Survey (CSU–CHILL). Based on this study, it is found that the accuracy of the retrieval is comparable to the current state of the art methods applied to the uniformly sampled observations and that the estimated velocity is unbiased for the complete Nyquist range.