Atmospheric sound scattering model to test signal coding methods for acoustic wind profiling.

Abstract

This presentation concerns simulation of atmospheric sound propagation, including the backscatter of acoustic waves from moving temperature fluctuations. The model has been developed to evaluate the performance of acoustic wind speed profiling techniques, in particular, the use of pulse coding methods which aim to increase range resolution, accuracy, and data availability. Stepped frequency chirps are propagated through the model and the results used to optimize matched filtering algorithms. Results from simulations are presented and the performance of several different signal detection algorithms evaluated. This methodology provides insight into particular problems encountered by the signal detection algorithm and will be utilized to aid the design of an experimental acoustic wind speed profiler. [Work funded by the Engineering and Physical Sciences Research Council (EPSRC).]