Wideband imaging of the rotating sphere: a wavelet transform approach

Abstract

This paper shows that a distributed object can be actively imaged using wideband processing and wavelet transform theory. The object considered is a uniform, rough, rotating sphere. The new wideband spreading function (WBSF) model of the sphere is developed by extending the theory of the existing narrowband scattering function model. Both models have singularities that have not been addressed in the literature. The processing method discussed uniquely accounts for these singularities using the wavelet transform. The support of the wideband spreading function model is discussed and related to the parameters of the sphere. Finally, an estimate of the wideband spreading function is found by computing the wavelet transform of the received signal with respect to the transmitted signal.<>