A new time delay estimation in subbands for resolving multiple specular reflections Azimi-Sadjadi, Mahmood R. ; Charleston, Sonia ; Wilbur, JoEllen ; Dobeck, Gerald J. "This work was supported by the Office of Naval Research (ONR 321TS). The Technical Agent was Coastal Systems Station, Panama City, FL." In this correspondence, a new time delay estimation procedure is proposed using the multiresolution analysis framework through a discrete wavelet transform (DWT). Once the signals are decomposed, the time delays are estimated iteratively in each sub-band using two different adaptation mechanisms that minimize the mean squared error (MSE) between the reference and primary signals in the corresponding sub-band and level. The localization of the minima of the MSE curves at different levels and subbands is used in order to arrive at the time delay estimates. The proposed scheme is then applied to a real-life problem of underwater target detection from the acoustic backscttered data. Colorado State University. Libraries 1998 text ; image application/pdf ECEmra00043.pdf FACFECEN100523ARTI eng c1998 IEEE
A new time delay estimation in subbands for resolving multiple specular reflections
Azimi-Sadjadi, Mahmood R. ; Charleston, Sonia ; Wilbur, JoEllen ; Dobeck, Gerald J.
"This work was supported by the Office of Naval Research (ONR 321TS). The Technical Agent was Coastal Systems Station, Panama City, FL."
In this correspondence, a new time delay estimation procedure is proposed using the multiresolution analysis framework through a discrete wavelet transform (DWT). Once the signals are decomposed, the time delays are estimated iteratively in each sub-band using two different adaptation mechanisms that minimize the mean squared error (MSE) between the reference and primary signals in the corresponding sub-band and level. The localization of the minima of the MSE curves at different levels and subbands is used in order to arrive at the time delay estimates. The proposed scheme is then applied to a real-life problem of underwater target detection from the acoustic backscttered data.
Colorado State University. Libraries
1998
text ; image
application/pdf
ECEmra00043.pdf
FACFECEN100523ARTI
eng
c1998 IEEE