Preprints
https://doi.org/10.5194/gi-2017-9
https://doi.org/10.5194/gi-2017-9

  19 Jun 2017

19 Jun 2017

Review status: this preprint was under review for the journal GI but the revision 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.

 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Nimmagadda Padmaja et al.

Nimmagadda Padmaja et al.

Viewed

Total article views: 1,250 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
784 355 111 1,250 113 120
  • HTML: 784
  • PDF: 355
  • XML: 111
  • Total: 1,250
  • BibTeX: 113
  • EndNote: 120
Views and downloads (calculated since 19 Jun 2017)
Cumulative views and downloads (calculated since 19 Jun 2017)

Viewed (geographical distribution)

Total article views: 1,118 (including HTML, PDF, and XML) Thereof 1,069 with geography defined and 49 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 30 Jul 2021
Download
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.