基于粒子群优化的传感器预分配方法

A Sensor Pre-assignment Method Based on Particle Swarm Optimization

  • 摘要: 针对实时传感器管理算法的局限,在深入分析传感器管理问题本质特征的基础上,提出一种传感器静态预分配方案。然后,以低轨星座目标连续跟踪为应用背景,提出一种基于修正粒子群优化的传感器预分配方法。仿真实验表明,所提方法虽然需要较长时间的静态分配过程,但是其实时运算效率明显高于实时传感器管理算法,因而给上层系统设计留下更多富余时间。

     

    Abstract: To deal with the limitation of real-time sensor management algorithms, a static pre-assignment scheme is proposed based on analysis of the essential characteristics of sensor management. Afterwards, a sensor pre-assignment method based on modified particle swarm optimization is proposed, under the background of continual object tracking in low-earth orbit constellation.The simulation implemented show that the realtime computation efficiency of the proposed method is much higher than that of the realtime sensor management method, although it needs long-time static pre-assignment. As a result, the proposed method will leave more residual time for the top system.

     

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