Intelligent Ping Sequencing for Multistatic Sonar Systems

Abstract

We study the problem of determining optimal pinging strategies in multistatic sonar systems with multiple sources. We are specifically investigating algorithms that determine optimal pinging strategies both for generalized search scenarios, and for holding confirmed target tracks with constraints related to maintaining search performance in the rest of the area. An important part of this work is the development of metrics to be used in the optimization procedures. For maintaining search coverage, we used a "probability of target presence" metric formulation. This formulation utilizes sonar performance prediction and a Bayesian update equation to incorporate negative information (i.e., searching an area but finding no targets). We also discuss strategies that can be used to increase the performance of a multistatic field, such as the use of bandwidth diversity.

GPU acceleration of Threat Map computation and application to selection of sonar field controls

“…The appeal of this method is in the flexi bility with which the threat behaviour and application of sonar fields can be handled. However, the Monte-Carlo approach is computationally demanding, so alternative techniques based on diffusion type modelling were also considered [2,3,4,5].…”

Adaptive ping control for track-holding in multistatic active sonar networks

“…Current methods typically employ a regular, cyclic, pre-planned ping transmission schedule, which is often arbitrarily determined and not specifically optimized for achieving the ASW objective. An adaptive solution will attempt to increase ASW coverage, as well as consider other factors such as field persistence and energy constraints [2,3].…”

Search performance prediction for multistatic sensor fields

“…(12) The assumption of a short ping cycle implies that either the number of sources in the field is relatively small, or that intelligent processing techniques are used to distinguish individual sources, as suggested in [10].…”