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。
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.
出处
《信号处理》
CSCD
北大核心
2010年第4期486-491,共6页
Journal of Signal Processing
关键词
预分配
传感器管理
粒子群优化
目标跟踪
Pre-assignment
Sensor management
Particle swarm optimization
Object tracking
