Factuality of Adaptive Wavelet Transform

Abstract:
Adaptive wavelet transform is highly accurate for ISAR motion compensation contrary to opinions in the literature, where the existences of the complementary scatterers have not been observed before. Proving the high accuracy of the algorithm for synthetically created data, adaptive wavelet transform is highly preferable with its cross-term free, high resolution, simple and fast properties. The algorithm also performs extremely well for noise added and phase disturbed data, where phase disturbance could resemble a phenomenon such as a translational motion error. In addition, we show that the algorithm behaves in a particular manner based on merely the scatterer’s energy and variance. This behaviour and the importance of this behaviour for the performance of the algorithm have not been observed in the literature before.