Paper presented at the International Conference on Underwater Acoustics (ICUA), 15–18 June 2026, in Glasgow, Scotland

ABSTRACT

The end-to-end detection performance of a sonar system is modeled by starting with the J-divergence after beamforming, detection filtering, normalization, and thresholding as an approximation to the contribution of a single measurement. Multiple-measurement performance is then represented by summing the single-measurement J-divergences. The effects of information processing and a sonar operator are incorporated through probabilistic side information using simple models accounting for a clutter-dominated background. An example is presented illustrating how the system can be optimized in clutter, eliciting the expected result of an increase in clutter severity causing a delay in system-level detection.

INTRODUCTION

This document contains the MATLAB code required to implement the examples presented in the conference paper. The figures in the paper are generated using the MATLAB scripts found in Sects. 2.1 and 2.2. The parameters and some of the function definitions are in the script in Sect. 2.3. Supporting subroutines are found in Sects. 3–7.

Acknowledgments

This paper was sponsored by the Office of Naval Research, Code 32, Undersea Signal Processing, through Naval Sea Systems Command contract N00024-21-D-6400 under task order N00024-25-F-8703.

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