Research on Sensor Management Algorithm of STSS Based on Real-number Particle Swarm Optimization
Wei An · Jisuanji fangzhen · 2009
In allusion to sensor management problem of midcourse object in STSS, a novel optimized objective function was proposed according to analysis of restriction in midcourse object tracking.Furthermore, on the basis of analyzing the disadvantages of binary particle swarm optimization based sensor management, a novel method based on real-number particle swarm optimization was proposed through dimensionality reduction and position vector improvement.Ultimately, simulation about classical midcourse object tracking scenario was executed, as a result, the optimized scheme of objective function was presented, and then, the performance of several methods were analyzed and compared in detail.The simulation results indicate that the novel optimized objective function can schedule sensors effectively;moreover, the real-number particle swarm optimization based sensor management is a more efficient algorithm.