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Discussion papers
https://doi.org/10.5194/gi-2017-9
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gi-2017-9
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Submitted as: research article 19 Jun 2017

Submitted as: research article | 19 Jun 2017

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This discussion paper is a preprint. It has been under review for the journal Geoscientific Instrumentation, Methods and Data Systems (GI). The revised manuscript was not accepted.

An Efficient Algorithm for Improved Doppler Profile Detection of MST Radar Signals

Nimmagadda Padmaja1, Souri Varadarajan2, Polisetti Yashoda3, and Enugonda Ramyakrishna4 Nimmagadda Padmaja et al.
  • 1Department of Electronics and Communication Engineering, Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India-517102
  • 2Department of ECE, S V University College of Engineering, Tirupati, Andhra Pradesh, India
  • 3National Atmospheric Research Laboratory, Indian Space Research Organization, AP, India
  • 4Sree Vidyanikethan Engineering College, Tirupati, AP, India

Abstract. An efficient algorithm based on Empirical Mode Decomposition (EMD) de-noising using soft threshold techniques for accurate doppler profile detection and Signal to Noise Ratio (SNR) improvement of MST Radar Signals is discussed in this paper. Hilbert Huang Transform (HHT) is a time-frequency analysis technique for processing radar echoes which constitutes EMD process that decomposes the non-stationary signals into Intrinsic Mode Functions (IMFs). HHT process has been applied on the time series data of MST (Mesosphere-Stratosphere–Troposphere) radar collected from NARL (National Atmospheric research Laboratory), Gadanki, India. Further, spectral moments were estimated and signal parameters such as mean doppler, signal power, noise power and SNR were calculated. Stacked doppler profile was plotted to observe the improvement in doppler detection. It has been observed that there is a considerable improvement in recognition of the doppler echo leading to improved Signal Power and SNR. The algorithm was tested for its efficacy on various data sets for all the 6 beams and the results of two data sets are presented.

Nimmagadda Padmaja et al.
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Nimmagadda Padmaja et al.
Nimmagadda Padmaja et al.
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Short summary
Radar Signal processing is one of the area where there is a lot of scope for research. This area demands efficient algorithms for study of echoes derived from various atmospheric regions. Denoising techniques were used and spectral moments were calculated. Stacked doppler profile was plotted to observe the improvement in doppler detection. It has been observed that there is a considerable improvement in recognition of the doppler echoes.
Radar Signal processing is one of the area where there is a lot of scope for research. This area...
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