Analysis of wavelet transform application in aircraft longitudinal motion identification

This study investigates the application of wavelet transforms in identifying aircraft longitudinal motion dynamics. The Output Error Method, enhanced with wavelet transforms, specifically Haar wavelets at varying decomposition levels, was used to estimate system parameters. The impact of filtering wavelet coefficients and the use of a coherence function in determining parameter changes were analyzed to assess their effect on model identification accuracy. The identification process involved estimating the parameters of a linear model by fitting its responses to those of a nonlinear system, which were noise-perturbed and treated as measurement data. The results demonstrate the successful application of wavelet transforms in system identification for flying objects, with recommendations for further optimization.