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云雾干扰条件下激光引信高斯分解测距方法
引用本文:刘学,顾宏,陈皓辉,张勇,杨振,张建隆.云雾干扰条件下激光引信高斯分解测距方法[J].红外与激光工程,2022,51(11):20220090-1-20220090-8.
作者姓名:刘学  顾宏  陈皓辉  张勇  杨振  张建隆
作者单位:1.天津工业大学 物理科学与技术学院,天津 300387
摘    要:在云雾影响下,脉冲激光引信存在着虚警概率高、测距精度差的问题,这些问题是制约激光引信全天候工作的主要问题。为了降低云雾对于全波形采样激光引信的影响,提出一种基于高斯分解的回波脉冲处理方法,采用高斯模型将回波信号分解成单独高斯脉冲的形式,根据波形特征分辨出真实目标回波与云雾后向散射回波。从理论仿真和实验上对比了该方法与数字互相关方法的性能差异,结果表明:在能见度小于4 m的云雾条件下,数字互相关法测距精度恶化到1.6 m,而高斯分解法能够实现0.18 m的测距精度,优于互相关处理方式。该方法为激光引信在云雾环境下高精度测距提供了新的数据处理思路。

关 键 词:脉冲激光引信    后向散射    全波形分解    抗云雾干扰
收稿时间:2022-02-07

Gaussian decomposition ranging method for laser fuze under cloud and fog interference conditions
Affiliation:1.School of Physical Science and Technology, Tiangong University, Tianjin 300387, China2.Unit 32382 of the Chinese People's Liberation Army, Beijing 100072, China3.School of Astronautics, Harbin Institute of Technology, Harbin 150001, China
Abstract:Under the influence of cloud and fog, pulsed laser fuze has the problems of high false alarm probability and poor ranging accuracy. These problems restrict the all-weather work of laser fuze. In order to reduce the influence of cloud and fog on the full-waveform sampling laser fuze, the paper proposes an echo pulse processing method based on Gaussian decomposition. The Gaussian model is used to decompose the echo signal into the form of individual Gaussian pulses, the real target echo and backscatter echoes of cloud and fog can be distinguished according to the waveform characteristics. The performance differences between the Gaussian decomposition method and the digital cross-correlation methods are compared from theoretical simulation and experiments. The results show that under the condition of cloud and fog with visibility less than 4 m, the ranging accuracy of the digital cross-correlation method deteriorates to 1.6 m, while the ranging accuracy of the Gaussian decomposition method can achieve a distance of 0.18 m, it is better than traditional cross-correlation process. It provides a new data processing idea for the high-precision ranging of laser fuze in cloudy and foggy environment.
Keywords:
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