Performance comparison of pulse-pair and wavelets methods for the pulse Doppler weather radar spectrum
Mohand Lagha (Electrical, Computer Engineering Department, College, Of Engineering, University Of Sharjah, FEMTO-ST), Mohamed Tikhemirine, Said, Bergheul, Tahar Rezoug, Maamar Bettayeb (Electrical, Computer Engineering, Department, College Of Engineering, University Of Sharjah)
TL;DR
This paper compares pulse-pair and wavelet methods for estimating wind velocity spectra in Doppler weather radar, highlighting the potential of wavelets as a promising alternative to classical estimators.
Contribution
It introduces the application of wavelet methods for wind velocity estimation and compares its performance with traditional pulse-pair and Fourier techniques.
Findings
Wavelet method shows promising results for wind velocity estimation.
Wavelet approach outperforms classical estimators in certain scenarios.
The study enhances radar detection of hazardous weather phenomena.
Abstract
In the civilian aviation field, the radar detection of hazardous weather phenomena (winds) is very important. This detection will allow the avoidance of these phenomena and consequently will enhance the safety of flights. In this work, we have used the wavelets method to estimate the mean velocity of winds. The results showed that the application of this method is promising compared with the classical estimators (pulse-pair, Fourier).
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsImage and Signal Denoising Methods · Precipitation Measurement and Analysis · Meteorological Phenomena and Simulations