The Array Optimization Model for Distributed Antisubmarine of Non-cluster USV Based on Coverage

Aiming at the low efficiency of single-vehicle submarine search and high complexity of cluster submarine search of Unmanned Surface Vehicle (USV), a new model for distributed antisubmarine of non-cluster USV is proposed by making full use of the long-endurance and long-distance submarine search capabilities of USV. This model uses a small number of USV carrying sonar detection equipment and distributes them relatively according to the designated position to form a multistatic sonar detection system, based on which anti-submarine operations are carried out. Around this model, a multistatic sonar system detection performance evaluation model is established based on maximizing the coverage of submarine search to study the influence of the deployment of the system platform on the detection coverage ability. The swarm intelligent algorithm optimizes the array information of the multistatic sonar system to achieve better detection effect. The simulation results show that using the swarm intelligence algorithm to reasonably optimize the array deployment of the model can greatly improve its regional coverage.