基于粒子群优化的观测站部署算法

摘要

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.%针对红外观测站部署问题，在研究观测站位置对定位精度影响的基础上，提出了基于粒子群优化的观测站部署算法。首先对ECEF坐标系下的CRLB矩阵进行推导；然后将观测站优化部署问题抽象为非线性规划模型，并将红外传感器联合定位的CRLB作为目标函数；最后采用粒子群优化算法求解该模型，避免了传统的非线性规划算法需要求解目标函数梯度的难题。结果表明，该部署算法具有一定的理论依据和工程意义，可以为实际红外观测站的静态部署和动态部署提供参考。