Modeling and Implementation of Heterogeneous MAS Anti-missile Battle Sensor Task Planning Based on Community of Interest

Abstract

It is important and difficult for anti-missile battle to use the advantage of resource complementarity of multidimensional sensor platform for collaborative detection and trace. In order to improve the efficiency of mission planning of sensor, for the heterogeneity of the observed resources and the phase and dynamics of missions, the paper introduces the concept of task community, analyzes and establishes heterogeneous MAS multi-sensor task planning system and solution mechanism of problems, based on which the paper focuses on establishing multi-sensor task planning sequence generation model based on cycle-event. And the paper proposes an improved particle swarm optimization algorithm. Simulation experiments indicate that the mechanism established in the paper is rational and effective, and is better than the multisensor task planning effect under traditional mode.