摘要
文中提出了一种基于混合遗传算法的误差估计方法，该方法通过考虑多部雷达对同一目标测量数据间的几何关系，建立目标函数，采用混合遗传算法进行目标函数寻优，实现对系统误差的估计。该方法克服了线性化带来的误差，提高了误差估计的精度。仿真实验结果表明：该方法与经典的最小二乘法相比，具有更高的误差估计精度。
An error estimation method based on the hybrid genetic algorithm is proposed in this paper, and this method considers the geometrical relationship of the measured data of different radars towards one identical target, constructs the objective function and searches the parameters with the hybrid genetic algorithm to estimate the systematic error. This method overcomes the disad- vantage of linearization and increases the error estimation precision. The simulation experiment results indicate that the proposed method processes a higher error estimation precision compared with the classical least square method.
出处
《现代雷达》
CSCD
北大核心
2018年第3期46-52,共7页
Modern Radar
基金
国家863基金资助项目(2015A7052010)
关键词
雷达组网
误差估计
混合遗传算法
最小二乘法
radar networking
error estimation
hybrid genetic algorithm
least square method
