Title :
Blind deconvolution of echosounder envelopes
Author :
Caughey, David A. ; Kirlin, R. Lynn
Author_Institution :
Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
Abstract :
Ocean bottom classification performed using an an installed technology base requires compensation for the existing technology´s constraints, including the fact that the digitized signal is the envelope of the convolution of the bottom´s impulse response and the source ping. We present a method by which the impulse response coefficients may be estimated given the source signal and the envelope of the received signal. This is accomplished by modelling the Hilbert transform definition of an envelope as a finite-length second-order Volterra kernel, and then performing a constrained optimization on the non-linear filter coefficients
Keywords :
Hilbert transforms; acoustic convolution; bathymetry; deconvolution; filtering theory; geophysical signal processing; nonlinear filters; oceanographic techniques; optimisation; sonar signal processing; transient response; underwater sound; Hilbert transform; bathymetric echosounders; blind deconvolution; constrained optimization; digitized signal; echosounder envelopes; finite-length second-order Volterra kernel; impulse response coefficients; nonlinear filter coefficients; ocean bottom classification; ocean bottom impulse response; received signal envelope; source ping; source signal; Convolution; Deconvolution; Equations; Filters; Frequency; Kernel; Marine technology; Oceanographic techniques; Oceans; Sampling methods;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.550544