Modeling and analysis of shallow water transmission loss, reverberation, and target echo

Abstract

The ONR 2013 Target and Reverberation Experiment (TREX13) in the Gulf of Mexico was very successful and has produced an extremely rich data set. Initial results from various participants have been presented at meetings and workshops, with key results published in a 2017 Special Issue of the IEEE Journal of Oceanic Engineering. The Principal Investigator (PI) has participated in planning the TREX13 measurements, the experiment itself, data analysis, follow on workshops, conference papers, and publications in the IEEE Special Issue. The emphasis has been on model development focused on interpretation of the data received on the FORA horizontal line array. Calibrations of the matched filter output have been obtained. Models have been developed to explain the general features of the reverberation, and to a lesser extent theechoes from targets and other scattering objects. However, a number of issues remain. In particular, there is a discrepancy between the measured transmission loss and the measured reverberation; i.e., model inputs that fit the measured transmission loss are inconsistent with model inputs that fit the measured reverberation. Also, the high quality data show a systematic, but unexplained variability in the transmission loss and target echo. It is proposed to continue the PI???s effort in modeling reverberation, transmission loss, and target echo. The emphasis will be on TREX13 data analysis/interpretation in collaboration with scientists at the Applied Physics Laboratory of the University of Washington (APL/UW). Occasional opportunities for collaboration will be pursued with researchers at other laboratories.

Document Details

Document Type
DoD Grant Award
Publication Date
Jul 27, 2018
Source ID
N000141812751

Entities

People

  • Dale Ellis

Organizations

  • Mount Allison University
  • Office of Naval Research
  • United States Navy

Tags

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Radar Systems Engineering.
  • Research Science/Academic Research