氧分子A吸收带的随机Malkmus被动测距

李晋华; 王召巴; 王志斌

doi:10.3788/OPE.20172501.0028

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氧分子A吸收带的随机Malkmus被动测距

现代应用光学 | 更新时间：2020-07-07

- 氧分子A吸收带的随机Malkmus被动测距
- Passive ranging using oxygen A-band and random Malkmus model
- 光学精密工程 2017年25卷第1期页码：28-33
- 作者机构：
  
  1.中北大学山西省光电信息与仪器工程技术研究中心, 山西太原 030051
  2.中北大学电子测试技术国家级重点实验室, 山西太原 030051
- 作者简介：
  
  李晋华(1977-),女,山西昔阳人,博士,讲师,2004年于吉林大学获得硕士学位,2015年于中北大学获得博士学位,主要从事信息获取和处理等方面的研究。E-mail:ljh4961@163.com E-mail:ljh4961@163.com
- 基金信息：
  
  国家自然科学基金仪器专项基金资助项目(No.61127015);国际科技合作项目(No.2013DFR10150);中北大学科研创新团队支持计划资助课题
- DOI：10.3788/OPE.20172501.0028
  中图分类号： TN215;TN976
- 收稿日期：2016-08-17，
  
  录用日期：2016-9-14，
  
  纸质出版日期：2017-01-25
- 稿件说明：
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李晋华, 王召巴, 王志斌. 氧分子A吸收带的随机Malkmus被动测距[J]. 光学精密工程, 2017,25(1):28-33.

Jin-hua LI, Zhao-ba WANG, Zhi-bin WANG. Passive ranging using oxygen A-band and random Malkmus model[J]. Editorial office of optics and precision engineeri, 2017, 25(1): 28-33.
李晋华, 王召巴, 王志斌. 氧分子A吸收带的随机Malkmus被动测距[J]. 光学精密工程, 2017,25(1):28-33. DOI： 10.3788/OPE.20172501.0028.

Jin-hua LI, Zhao-ba WANG, Zhi-bin WANG. Passive ranging using oxygen A-band and random Malkmus model[J]. Editorial office of optics and precision engineeri, 2017, 25(1): 28-33. DOI： 10.3788/OPE.20172501.0028.

摘要

针对比尔-朗伯定律单色传输和其他透过率模型计算速度慢的问题，为了实现红外目标的高速被动测距，研究了被动测距系统中氧分子A带吸收特征及大气中氧分子吸收率的计算方法。分析了大气中氧分子A带的吸收光谱及分布特性，以当前大气参数和测量环境为基础，结合HITRAN数据库，将随机Malkums带模式引入到氧分子带平均吸收率计算中，建立了基于随机Malkums带模式的被动测距数学模型。搭建了测距实验平台，在12~128 m内对7个不同点进行了距离测量。实验结果表明，在实际大气条件下，利用该被动测距模型测得被测目标距离与实际距离的平均误差达到1.8%。该模型正确、可行，满足红外目标被动测距的高速在线测试及隐蔽性、高精度、抗干扰能力强等要求。

Abstract

Aiming at the slow calculation speed both of monochrome transmission based on Beer-Lambert Law and other transmittance models

the absorption features of oxygen A band was analyzed and algorithms of oxygen absorptivity in atmosphere was investigated in order to realize real-time and high-efficient passive ranging of infrared targets. The absorption spectrum and distribution characters for oxygen A band were analyzed. The passive ranging model based on random Malkums mode was built by introducing the random Malkums mode to the calculation of the band average absorptivity of oxygen molecules with the current atmospheric parameters

testing environment and HITRAN database. Then the passive ranging test platform was established for measuring seven different points ranging from 12 to 128 m. Experimental results show that the model is accuracy and the average error of oxygen A band between measured and calculated distances is 1.8% in current atmosphere. The proposed passive ranging algorithms is feasible and can satisfy the system requirements of rapid speed

online

concealing

higher precision

as well as strong anti-jamming.

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Keywords

references

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