A Novel Approach to Improve the Wind Profiler Doppler Spectra Using Wavelets

P. Krishna Murthy*, S. Narayana Reddy**
* Research Scholar, Department of Electronics & Communication Engineering, SVU College of Engineering, Tirupati. A.P, India.
** Professor, Department of Electronics & Communication Engineering, SVU College of Engineering, Tirupati, A.P, India.
Periodicity:October - December'2016
DOI : https://doi.org/10.26634/jdp.4.4.8313

Abstract

The dedicated VHF clear-air atmospheric radars built in the late 70’s and early 80’s were found to be capable of observing atmospheric parameters such as the three-dimensional wind vector. These radars measure wind continuously. Wind profiling radars yield real-time lower atmospheric wind profiles in continuous unattended operation. Wind profilers are necessary to measure the height profile of wind vector and Signal to Noise Ratio (SNR) by detecting the Doppler shift of echoes. The lower atmospheric signals, which are processed in the present work has been obtained from the LAWP radar at National Atmospheric Research Laboratory (NARL), Gadanki, India. This paper discusses estimation of the wind profile using Peak Detection Technique (PDT) and Db11 Wavelet. The fake peaks which are adjacent to the real in the radar data can be detected by applying the threshold. In order to get the true position of the object, those fake peaks should be removed and this is possible by using Peak Detection Technique. Effective Doppler shift for LAWP data is obtained by using Peak Detection Technique and compared with the doppler obtained for LAWP data using Daubechies Wavelet. Results shows that there is an effective doppler shift after using Db11 Wavelet.

Keywords

Daubechies, Doppler Shift, Wind Profiler, Peak Detection Technique, Signal to Noise Ratio, Wavelet.

How to Cite this Article?

Murthy, K. P, and Reddy, N.S. (2016). A Novel Approach to Improve the Wind Profiler Doppler Spectra Using Wavelets. i-manager’s Journal on Digital Signal Processing, 4(4), 22-28. https://doi.org/10.26634/jdp.4.4.8313

References

[1]. P. Srinivasulu, P. Yasodha, S. N. Reddy, S.Satyanarayana and A. Jayaraman, (2011) “Simplified Active Array L-Band Radar for Atmospheric Wind Profiling: Initial Results”. Journal of Atmospheric and Oceanic Technology, Vol. 28, pp.1436- 1447.
[2]. P. Srinivasulu, P. Yasodha, S. N. Reddy, P. Kamaraj, T. N. Rao, S. Satyanarayana, and A. Jayaraman, (2012). “1280 MHz Active Array Radar Wind Profiler for Lower Atmosphere: System Description and Data Validation”. Journal of Atmospheric and Oceanic Technology, Vol.29, pp.1455-1470.
[3]. Teter H. Hildebrand and R. S. Sekhon, (1974). “Objective Determination of the Noise Level in Doppler Spectra”. Journal of Applied Meteorology, Vol.13, pp 808-811.
[4]. Palshikar, G. (2009). “Simple Algorithms for Peak st Detection in Time-Series”. 1 IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence.
[5]. Daubechies I. (1990). “The Wavelet Transform, Time- Frequency Localization and Signal Analysis”. IEEE Transformation and Information Theory, Vol. 36, pp. 961-1005.
[6]. P. Krishna Murthy and S. Narayana Reddy, (2016). “Wavelet Transform Based Method to Improve the Signal to Noise Ratio for Lower Atmospheric Wind Profiler Data”. International Journal of Modern Electronics and Communication Engineering, Vol.4, No. 4, pp. 58-62.

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

If you have access to this article please login to view the article or kindly login to purchase the article
Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.