
Wind profile detection of atmospheric radar signals using wavelets and harmonic decomposition techniques
Author(s) -
Varadarajan S.,
Reddy K. Jithendra,
Reddy G. Ramachandra
Publication year - 2004
Publication title -
atmospheric science letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.951
H-Index - 45
ISSN - 1530-261X
DOI - 10.1002/asl.78
Subject(s) - radar , doppler radar , remote sensing , parametric statistics , environmental science , meteorology , wavelet , doppler effect , signal (programming language) , computer science , geology , mathematics , geography , telecommunications , physics , statistics , artificial intelligence , astronomy , programming language
A simple and successful design of algorithms using parametric and non‐parametric techniques for spectral cleaning and estimation of the atmospheric radar signal is presented. With these algorithms, signal‐to‐noise ratio (SNR) of the radar returns could be improved and the Doppler frequency could be predicted even at greater heights and under severe weather conditions. The predicted results are compared with the conventional techniques and good improvement is reported. Copyright © 2004 Royal Meteorological Society