Research On The Optimization Of Airborne Searching Submarine Formation Routes

Currently, airborne searching submarine has become the most effective means of anti-submarine detection, and played an increasingly important role in anti-submarine search.With focus on the optimization of airborne searching submarine sonobuoy formation and the optimization of airborne searching submarine formation routes, this thesis mainly studied the optimization of active sonobuoy searching submarine formation and optimized airborne searching submarine formation routes by ant colony optimization(ACO).The first part presents the optimization of active sonobuoy searching submarine formation. In an actual searching submarine operation, the searching submarine range of an active sonobuoy actually changes with submarine steering rather than be a standard circular region. When the active sonobuoy faces the abeam direction of the submarine, its searching submarine range reaches its maximum theoretically. When the active sonobuoy faces the bow or bow direction of the submarine, the target strength of the submarine is very low, and the sonobuoy can hardly detect the submarine at this moment. In order to resolve the shortcoming of the current formation studies concerning this ill-considered characteristic of active sonobuoy, this thesis put forward "sonobuoy set" as an optimization pattern, and demonstrated that this optimization pattern could reduce the number of missing alarms. Simulation verified that this optimization pattern could improve searching submarine probability compared with the traditional sonobuoy searching submarine formation. Then this thesis discussed the effect of some searching submarine blind zone in the center of active sonobuoy on searching submarine probability,and optimized the active sonobuoy formation on the premise of considering the searching submarine blind zone as the "sonobuoy set" was adopted. In addition,this thesis analyzed the relationship between overlap coefficient and searching submarine probability,establishing a relational function, revealing the relationship between the searching submarine probability corresponding to overlap coefficient and the searching submarine coverage of active sonobuoy formation.The second part presents the optimization of airborne searching submarine formation routes. This thesis simplified and abstracted the sonobuoy searching submarine formation,and transformed it into a planar point set. This method laid a foundation for research on formation routes from the perspective of theoretical abstraction. On these grounds, the optimization of formation routes came down to combinatorial optimization. This thesis then discussed and analyzed the greedy algorithm frequently used for the optimization of airborne searching submarine routes, and pointed out its disadvantage that no elegant solution could easily be developed for a relatively point set; optimized airborne searching submarine routes by ACO, and compared ACO with greedy algorithm by simulation,revealing the advantage of ACO; finally carried out simulation based on a complex point set, confirming that ACO could also determine a satisfactory route despite a large number of flying target points. And under the circumstances, a lot of experiments were conducted to validate that ACO could determine a better route than greedy algorithm.