### ASA 126th Meeting Denver 1993 October 4-8

## 4pUW10. Minimum entropy deconvolution of underwater acoustic transients.

**Michael K. Broadhead
**

**
**
*Naval Res. Lab., Code 7173, Stennis Space Center, MS 39529-5004
*

*
*
The minimum entropy deconvolution (MED) method [R. Wiggins, Geoexploration
16, 21--35 (1978)], is used to produce source signature estimates from
underwater acoustic transients, which has application in the passive sonar
classification problem. The Green's function, representing environmental
distortion effects, is treated as a non-Gaussian random process. The MED method
implemented in this paper leads to a one-parameter model that doesn't require
accurate knowledge of the source location and environmental parameters, or the
computation of Green's functions. Results from applying the MED method to
single-sensor, broadband ocean acoustic measurements are shown, where source
signature estimate correlation coefficients range between 0.87 to 0.91. The
method is also applied to realistic simulations, produced with a parabolic
equation (PE) model, using a source pulse that was longer and more complex than
the measured source. Source signature estimate correlation coefficients ranged
between 0.95 and 0.99. The technique assumes that the input random process is
non-Gaussian, which is justified by high kurtosis values of the computed (PE)
Green's functions associated with this data set. [Work supported by Office of
Naval Research, with technical management provided by the Naval Research
Laboratory.]