蚁群算法在光电载荷标校中的应用

针对空中平台光电载荷安装误差的梗准问题,提出了一种利用蚁群算法实现动态标校的方法.通过光电裁荷测量得到的目标方位角、俯仰角和平台导航信息,结合GPs转化得到的方位角、俯仰角真值,建立了基于最优估计理论的目标函数,并利用蚁群算法求得了系统的安装误差.通过蒙特卡洛模拟仿真,验证了该方法能够较为准确地标定出安装误差;通过校准,有效避免了由安装误差引起的结果有偏,使得目标跟踪结果收敛至真值附近.

Photoelectron payload calibration based on ant colony algorithm

Aiming at calibrating the photoelectron payload system error of aerial maneuvering platform, a method of using ant colony algorithm was proposed for dynamic calibration. With the photoe-lectrical measurement of azimuth angle, elevation angle and navigation information induced from the platform as well as the precise value calculated from GPS, the target function was brought forward based on optimization theory. The system error was calculated according to ant colony algorithm. The Monte-Carlo simulations show that the system error can be determined accurately to eliminate the biased result.