This paper focuses on the signal processing techniques of lower atmospheric wind profilers that are very
important tools in the measurement of wind direction and velocity within the boundary layer. The profiler measures
high temporal and spatial resolution wind profiles through Doppler-shifted radar or acoustic signals. In order to
enhance data reliability, reducing noise, clutter suppression, and accurate spectrum analysis is given high priority in
the study. The evaluation of performance improvements is done in case of advanced methods such as adaptive filtering
and Fourier-based processing. These advances in signal processing technique are useful in climate research, weather
forecasting and the safety of aircraft in the lower atmosphere, as more accurate wind measurements can be made.
Keywords : Window, Moments, LAWP, Clutter, Signal to noise ratio
Author : Sohail
Title : Lower Atmospheric Wind Profiler Signal Processing
Volume/Issue : 2025;01(01)
Page No : 14-16