Abstract

A method is presented that computes a discrete‐time model of the atmospheric turbulence effects on sonic booms. First, signal processing techniques are applied to sonic booms to extract the shock profiles from N waves measured on the ground. Next, clean shock profiles are estimated from nonlinear acoustics theory using the measured sonic boom ground data as a reference. A discrete‐time model is computed using a Wiener filtering scheme with the ‘‘clean’’ shock profile as the input to the scheme and the measured shock data as the output. The resulting system of equations required to compute a model is ill conditioned. Tikhonov regularization is implemented with the regularization parameter chosen based on inspection of the eigenvalue spectrum of the autocorrelation matrix. Multiple models are obtained for ‘‘low’’ to ‘‘high’’ amounts of turbulence from ground measurements recorded under various atmospheric conditions. Predicted N waves and shaped sonic booms are digitally filtered by the turbulence models. The loudness levels of the sonic booms before and after application of the turbulence models are evaluated.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call