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21-06-2021

Spectral Analysis of Atmospheric Radar Echoes Using a Non-Stationary Approach

Authors: Jaba Deva Krupa Abel, Samiappan Dhanalakshmi, R Kumar

Published in: Wireless Personal Communications | Issue 1/2021

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Abstract

Generally, radar echo is analysed in the assumptions that echo comes from stationary processes. Signal processing algorithms of atmospheric radar echoes are based on stationarity assumptions. In this paper, we propose a technique for processing the radar echoes by still preserving their non-stationary nature. The proposed algorithm is based on the complex empirical mode decomposition (CEMD) of non-stationary complex atmospheric radar signals. The well-established technique Hilbert Huang transform has been applied for the practical radar echoes collected from the Mesosphere-Stratosphere-Troposphere radar located at Gadanki Andhra Pradesh. The data is subjected to proposed CEMD algorithm and results are obtained and Stationarity is tested using the wavelet transform. The inference from the obtained results is of two-fold: Hilbert spectrum is very well localized and can be used for stationarity test like Wavelet spectrum, the frequency components in Hilbert spectrum lies in the signal region of Fourier spectrum thereby resembling it. For better interpretation, the algorithm is also applied for simulated signals under both stationary and non-stationary environments. The results motivate us for better exploitation of HHT for the spectral analysis of atmospheric radar echoes.

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Title: Spectral Analysis of Atmospheric Radar Echoes Using a Non-Stationary Approach
Authors: Jaba Deva Krupa Abel
Samiappan Dhanalakshmi
R Kumar
Publication date: 21-06-2021
Publisher: Springer US
Published in: Wireless Personal Communications / Issue 1/2021
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-021-08669-9

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