基于Infinite integral的四象限探测器光斑位置检测算法
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A four quadrant detector spot position detection algorithm based on Infinite integral algorithm
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    摘要:

    为了进一步提高基于四象限探测器的半主动式激光导引头的目标定位精度,本文以高斯分布的圆形光斑作为入射光斑模型,提出了一种基于Infinite integral拟合方法的改进算法(GII)。在Infinite integral拟合算法的基础上,考虑了外部光能和死区带来的误差影响,采用最小二乘法获得最佳拟合的解析表达式。为了简化算法的计算量,对部分解析表达式进行分段式多项式拟合,优化拟合区间,并得到GII算法的解析表达式。GII算法相较于传统Infinite integral拟合算法和8次多项式拟合法,精度大幅度提升。仿真和实验表明,该算法在确保良好实时性的同时,能增加四象限探测器的有效探测范围,提高不同光斑半径下四象限探测器的定位精度,为战场环境下精准激光制导武器的发展提供了理论参考。

    Abstract:

    In order to further improve the target positioning accuracy of the semi active laser seeker based on the four quadrant detector,an Infinite integral fitting method(GII)based algorithm is proposed through a Gaussian distributed circular incident spot model.On the basis of the Infinite integral algorithm,taking into account the influence of errors caused by external light energy and dead zones,the least square method has been applied to obtain the analytical expression of the best fit.In order to simplify the calculation of the algorithm,a piecewise polynomial fitting is performed on part of the analytical expressions to optimize the fitting interval,and the analytical expression of the GII algorithm is obtained.Compared with the conventional Infinite integral algorithm and the 8 degree polynomial fitting method,the accuracy of the GII algorithm is significantly improved.Experiments show that the algorithm can increase the effective detection range of the four quadrant detector while ensuring real time performance as well as improve the positioning accuracy of the four quadrant detector under different spot radii,which provides theoretical reference for the development of precision laser guided weapons in the battlefield environment.

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苟晔鹏,刘星,刘强,郭甲崇,邢博.基于Infinite integral的四象限探测器光斑位置检测算法[J].激光与红外,2021,51(9):1249~1256
GOU Ye-peng, LIU Xing, LIU Qiang, GUO Jia-chong, XING Bo. A four quadrant detector spot position detection algorithm based on Infinite integral algorithm[J]. LASER & INFRARED,2021,51(9):1249~1256

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  • 最后修改日期:2020-12-08
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  • 在线发布日期: 2021-10-09
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