Advanced Signal Processing of Radar Wind Profiler using Wavelet Transform Techniques
M. Krupa Swaroopa Rani1, P. Jagadamba2, G. Kiran Kumar3

1M. Krupa Swroopa Rani, P.G. Student in the Department of ECE, SriKalahastheeswara Institute of Technology, Srikalahasthi, India.
2P. Jagadamba, Sr. Asst. Prof. in the Department of ECE, Sri Kalahastheeswara Institute of Technology, Srikalahasthi, India.
3G. Kiran Kumar, Research Scholar in Department of Physics,Sri Venkateshwara University, Tirupati, India.
Manuscript received on June 03, 2013. | Revised Manuscript received on June 29, 2013. | Manuscript published on July 05, 2013. | PP: 273-277 | Volume-3 Issue-3, July 2013. | Retrieval Number: C1725073313/2013©BEIESP
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Abstract: Atmospheric Signal processing has been one field of signal processing where there is a lot of scope for development of new and efficient tools for cleaning of the spectrum, detection and estimation of the desired parameters. Atmospheric signal processing deals with the processing of the signals received from the atmosphere when manually stimulated using atmospheric Radar. Removal of clutter and noise in the radar wind profiler is the utmost important consideration in radar. In this paper, we implement wavelet thresholding for removing clutter and noise from radar wind profiler data. By applying the concept of discrete multi-resolution analysis and non-parametric estimation theory, we develop wavelet domain thresholding rules, which identifies the coefficients relevant for clutter and noise and suppresses them and increases the accuracy of wind vector reconstruction.
Keywords: Atmospheric Signal Processing, Spectrum, Detection, Clutter, Wind Profiler.