指挥控制与仿真Issue(3)：40-43,4.DOI:10.3969/j.issn.1673-3819.2014.03.009
基于粒子群优化的观测站部署算法
Management of Multi-sensor Based on P article Swarm Optimization
摘要
Abstract
To solve the problem of management of infrared observation station, the paper researches the positioning accuracy under the different way of management, and proposes a new algorithm based on particle swarm optimization. Firstly, to solve the problem that optimization results depend on movement model, the paper analyzes the CRLB of multi-target tracking by in-frared sensor under the ECEF coordinate system. Secondly, the paper transforms the problem of observation station managing to the model of nonlinear programming, and the CRLB offered by multi-infrared location is used as the goal function to solve the problem. Lastly, the paper takes the particle optimization to solve the model, avoids working out the gradient of goal function which is necessary in the traditional nonlinear programming. Simulation results show us the new optimization algo-rithm doesn�t depend on the movement model of targets. And the conclusions in this paper can provide some reference for management of infrared observation station in practice.关键词
观测站部署/粒子群优化/CRLB/非线性规划Key words
management of observation station/particle swarm optimization/CRLB/nonlinear programming分类
军事科技引用本文复制引用
刘俊杰,巴海涛..基于粒子群优化的观测站部署算法[J].指挥控制与仿真,2014,(3):40-43,4.
