Multiobjective Multistatic Sonar Sensor Placement

We address the problem of determining the optimal number and placement of multistatic sonar sensors to achieve maximal coverage while minimizing the number of required sensors. The use of a computationally expensive environmentally-dependent acoustic model for sonar performance prediction precludes the direct application of population-based techniques. Instead, we present computationally-frugal methods based on particle swarm optimization (PSO). Comparison of the algorithms using a surrogate model for sonar performance prediction based on Cassini ovals against a reference set generated through brute force evaluation of all configurations is presented.