张静, 刘吉, 刘秀, 张斌, 李世伟. 武器自动机运动规律测试系统光斑定位算法的研究[J]. 应用光学, 2016, 37(3): 430-434. DOI: 10.5768/JAO201637.0303006
引用本文: 张静, 刘吉, 刘秀, 张斌, 李世伟. 武器自动机运动规律测试系统光斑定位算法的研究[J]. 应用光学, 2016, 37(3): 430-434. DOI: 10.5768/JAO201637.0303006
hang Jing, Liu Ji, Liu Xiu, Zhang Bin, Li Shiwei. Spot location algorithm of weapon automata motion testing system[J]. Journal of Applied Optics, 2016, 37(3): 430-434. DOI: 10.5768/JAO201637.0303006
Citation: hang Jing, Liu Ji, Liu Xiu, Zhang Bin, Li Shiwei. Spot location algorithm of weapon automata motion testing system[J]. Journal of Applied Optics, 2016, 37(3): 430-434. DOI: 10.5768/JAO201637.0303006

武器自动机运动规律测试系统光斑定位算法的研究

Spot location algorithm of weapon automata motion testing system

  • 摘要: 针对重心法、高斯拟合法等传统的光斑中心定位算法存在抗干扰能力差、定位精度低等问题,提出了一种以圆拟合算法为基础进行改进计算光斑中心的方法。采用56式冲锋枪进行实弹单发实验,对测试系统获得的数据分别用改进圆拟合、高斯拟合及重心法进行处理。将处理结果与OFV5000激光速度计测试结果相比较,改进圆拟合算法的相对误差仅为0.92%。结果表明:该算法提高了抗干扰能力,实现了光斑中心的快速、准确计算,并且获得了武器自动机运动规律。

     

    Abstract: Aiming at the problems of bad antiinterference capacity and low localization accuracy in traditional localization algorithms of spot center which include the center of gravity method, the Gaussian fitting and so on, we raised a improving way which calculates the center of spot on the basis of the circle fitting method. Using the type of 56 submachine gun, we conducted the single shot experiment and processed the data obtained by testing system through the modified circle fitting, Gaussian fitting, and gravity method, respectively. Compared with the testing result of OFV5000 laser velocimeter,the relative error of improved circle fitting is only 0.92%. The result shows that the algorithm improves the antiinterference ability and achieves the rapid and accurate calculation of spot center,and obtains the weapons motion parameters.

     

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