基于旁瓣光束衍射反演的远场测量旁瓣波峰参数检测方法

Detection method of sidelobe peaks parameter for far-field measurement based on the diffraction inversion of sidelobe beam

  • 摘要: 针对强激光远场测量不能有效识别旁瓣光束任意方向各个旁瓣波峰参数的问题,提出了基于旁瓣光束衍射反演的远场测量旁瓣波峰参数的检测方法。对旁瓣光束图像按照选定的角度采样间隔进行量化,使用角度变换将二维旁瓣光束图像转化为全方向的一维旁瓣光束曲线集合,检测每一个角度的一维旁瓣光束曲线的各个旁瓣波峰参数,从而获得旁瓣光束任意方向各个旁瓣波峰的参数。主要优化措施为:(1)使用角度变换将二维旁瓣光束图像转化为全方向的一维旁瓣光束曲线集合;(2)检测每一个角度的一维旁瓣光束曲线的各个旁瓣波峰的参数,统计所有方向的各个旁瓣峰值,生成每个旁瓣波峰的极大值圆环;(3)统计每个旁瓣波峰极大值圆环的灰度均值,将各个旁瓣波峰极大值圆环的灰度均值与本底噪声进行比较,选择大于本底噪声1.5倍的最小波峰均值为整个旁瓣光束的最小可测旁瓣波峰信号。实验结果表明:该方法能够有效检测旁瓣光束任意方向各个旁瓣波峰的参数,任意方向上灰度极大值均值与理论值灰度极大值误差为0.477,5个波峰的极大值圆环半径均值与理论值半径之间误差小于1个像素。该方法提高了基于旁瓣光束衍射反演的远场测量的实验精度和可信度,为将来大科学装置强激光远场的精确测量奠定基础。

     

    Abstract: In order to solve the problem that high power laser far-field measurement can not effectively identify the parameters of each sidelobe peak in any direction of sidelobe beam, a detection method of sidelobe peak parameters of far-field measurement based on sidelobe beam diffraction inversion is proposed in this paper. The main idea is to quantify the sidelobe beam image according to a specific angle sampling interval, and convert the two-dimensional sidelobe beam image into a set of one-dimensional sidelobe beam curves in all directions by angle transformation, then detect the parameters of each sidelobe peak of one-dimensional sidelobe beam curve at each angle, so as to obtain the parameters of each sidelobe peak in any direction of sidelobe beam. The main optimization measures are as follows: (1) Convert the two-dimensional sidelobe beam image into a set of one-dimensional sidelobe beam curves in all directions by angle transformation; (2) Detect the parameters of each sidelobe peak of one-dimensional sidelobe beam curve at each angle, count each sidelobe peak in all directions, and generate the maximum rings of each sidelobe peak; (3) Count the gray mean values of the maximum rings of each sidelobe peak, compare the gray mean values of the maximum rings of each sidelobe peak with the background noise, and select the minimum peak mean value greater than 1.5 times the background noise as the minimum measurable sidelobe peak signal of the whole sidelobe beam. The experimental results show that this method can effectively detect the parameters of each sidelobe peak in any direction of the sidelobe beam. The error between the mean value of gray maximum value and the theoretical value of gray maximum value in any direction is 0.477, and the error between the mean value of the maximum ring radius and the radius of the theoretical value of 5 sidelobe peaks is less than 1 pixel. This method improves the experimental accuracy and reliability of far-field measurement of high power laser based on the diffraction inversion of sidelobe beam, and it will lay a foundation for the accurate measurement of the far field of the high power laser in the large scientific facility in the future.

     

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