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

作　　者：王博[1] 刘海军[1] 安玮[1] 周一宇[1] 

机构地区：[1]国防科技大学电子科学与工程学院,湖南长沙410073

出　　处：《信号处理》2010年第4期486-491,共6页Journal of Signal Processing

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.

关 键 词：预分配 传感器管理 粒子群优化 目标跟踪 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置]