Clutter Filtering and Spectral Moment Estimation for Doppler Weather Radars Using Staggered Pulse Repetition Time (PRT)

2000 ◽  
Vol 17 (3) ◽  
pp. 323-331 ◽  
Author(s):  
M. Sachidananda ◽  
D. S. Zrnić
Keyword(s):  
Pulse Repetition ◽  
Spectral Moment ◽  
Weather Radars ◽  
Moment Estimation ◽  
Repetition Time

Alternating Dual-Pulse, Dual-Frequency Techniques for Range and Velocity Ambiguity Mitigation on Weather Radars

2010 ◽  
Vol 27 (9) ◽  
pp. 1461-1475 ◽  
Author(s):  
Sebastián Torres ◽  
Richard Passarelli ◽  
Alan Siggia ◽  
Pentti Karhunen
Keyword(s):  
Pulse Repetition ◽  
Single Frequency ◽  
Weather Data ◽  
Frequency Diversity ◽  
Sampled Data ◽  
Dual Frequency ◽  
Multiple Pulse ◽  
Uniform Sampling ◽  
Weather Radars ◽  
Repetition Time

Abstract This paper introduces a family of alternating dual-pulse, dual-frequency (ADPDF) techniques. These are based on frequency diversity and are proposed as a means to mitigate range and velocity ambiguities on Doppler weather radars. ADPDF techniques are analyzed theoretically and through simulated and real weather data collected with a prototype C-band radar. Analogous to single-frequency, multiple-pulse-repetition-time (mPRT) techniques, such as staggered or triple PRT, it is demonstrated that ADPDF techniques can extend the maximum unambiguous velocity beyond what is achievable with uniform sampling. However, unlike mPRT techniques, ADPDF techniques exhibit better statistical performance and, more importantly, may be designed to preserve uniform sampling on one of the frequency channels, thus avoiding some of the difficulties associated with processing nonuniformly sampled data.

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

2017 ◽  
Vol 34 (1) ◽  
pp. 51-63 ◽  
Author(s):  
Sebastián M. Torres ◽  
David A. Warde
Keyword(s):  
Spectral Analysis ◽  
Spectral Density ◽  
Power Spectral Density ◽  
Weather Radar ◽  
Real Data ◽  
Pulse Repetition ◽  
Spectral Processing ◽  
Weather Radars ◽  
Power Spectral ◽  
Repetition Time

AbstractThe 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.

Spectral moment estimation of weather echoes in pulsed Doppler weather radars: Mean radial velocity

2011 ◽  
Author(s):  
David I. Lekhovytskiy ◽  
Dmytro S. Rachkov ◽  
Andrii V. Semeniaka ◽  
Vyacheslav P. Ryabukha ◽  
Dmytro V. Atamanskiy
Keyword(s):  
Radial Velocity ◽  
Spectral Moment ◽  
Pulsed Doppler ◽  
Weather Radars ◽  
Moment Estimation

Spectral moment estimation of weather echoes in pulsed Doppler weather radars: Mean power

2011 ◽  
Author(s):  
David I. Lekhovytskiy ◽  
Dmytro S. Rachkov ◽  
Andrii V. Semeniaka ◽  
Vyacheslav P. Ryabukha ◽  
Dmytro V. Atamanskiy
Keyword(s):  
Spectral Moment ◽  
Pulsed Doppler ◽  
Mean Power ◽  
Weather Radars ◽  
Moment Estimation

Spectral moment estimation of weather echoes in pulsed Doppler weather radars: Spectrum width

2011 ◽  
Author(s):  
David I. Lekhovytskiy ◽  
Dmytro S. Rachkov ◽  
Andrii V. Semeniaka ◽  
Vyacheslav P. Ryabukha ◽  
Dmytro V. Atamanskiy
Keyword(s):  
Spectral Moment ◽  
Pulsed Doppler ◽  
Weather Radars ◽  
Moment Estimation ◽  
Spectrum Width

scholarly journals Gaussian Model Adaptive Processing in Time Domain (GMAP-TD) for Weather Radars

2013 ◽  
Vol 30 (11) ◽  
pp. 2571-2584 ◽  
Author(s):  
Cuong M. Nguyen ◽  
V. Chandrasekar
Keyword(s):  
Time Domain ◽  
Gaussian Model ◽  
Radar Data ◽  
Adaptive Processing ◽  
Colorado State University ◽  
Weather Radars ◽  
Ground Clutter ◽  
Moment Estimation ◽  
Interpolation Procedure ◽  
The Time Domain

Abstract The Gaussian model adaptive processing in the time domain (GMAP-TD) method for ground clutter suppression and signal spectral moment estimation for weather radars is presented. The technique transforms the clutter component of a weather radar return signal to noise. Additionally, an interpolation procedure has been developed to recover the portion of weather echoes that overlap clutter. It is shown that GMAP-TD improves the performance over the GMAP algorithm that operates in the frequency domain using both signal simulations and experimental observations. Furthermore, GMAP-TD can be directly extended for use with a staggered pulse repetition time (PRT) waveform. A detailed evaluation of GMAP-TD performance and comparison against the GMAP are done using simulated radar data and observations from the Colorado State University–University of Chicago–Illinois State Water Survey (CSU–CHILL) radar using uniform and staggered PRT waveform schemes.

Pulse Repetition Time and Contrast Enhancement

2008 ◽  
Vol 43 (4) ◽  
pp. 267-275 ◽  
Author(s):  
Sanna K. Yrjänä ◽  
Teuvo Vaara ◽  
Ari Karttunen ◽  
John Koivukangas
Keyword(s):  
Contrast Enhancement ◽  
Pulse Repetition ◽  
Repetition Time
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