WIDE-BAND IMAGING AND PARAMETER-ESTIMATION OF DISTRIBUTED OBJECTS USING THE CONTINUOUS WAVELET TRANSFORM

In this paper, wavelet transforms and wideband processing techniques a re used to actively image a continuously distributed object. This pape r shows that a useful estimate of the wideband spreading function (WBS F) can be obtained by operating on a noisy received signal with the wa velet transform. Wavelet estimates of the WBSF of a rough, rotating sp here are formed by processing simulated echoes. A new and unique algor ithm is developed to estimate the physical parameters of a distributed object by combining information from several noisy wavelet transform estimates of its WBSF. A computer simulation is performed and results are presented to demonstrate the effectiveness of this technique.