宇航计测技术 ›› 2014, Vol. 34 ›› Issue (2): 75-77.doi: 10.12060/j.issn.1000-7202.2014.02.18

• 论文 • 上一篇    下一篇

基于人工神经网络的红外探测效果评估

王爱亮1；王爱丽2；郑玉航1   

  1. 1、第二炮兵工程大学，西安 710025；
    2、西安工程大学，西安 710048
  • 出版日期:2014-04-15 发布日期:2014-04-15
  • 作者简介:王爱亮（1981-），男，硕士，主要研究方向：武器系统健康管理。

Evaluation of Infrared Detector Equipment Index Based on BP Network

WANG Ai-liang1；WANG Ai-li2；ZHENG Yu-hang1   

  1. 1、The Second Artillery Engineering University, Xi′an 710025;
    2、Xi′an Polytechnic University, Xi′an 710048
  • Online:2014-04-15 Published:2014-04-15

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摘要： 红外探测设备是红外系统中的重要组成部分，对其性能评估具有实际意义。分析研究了影响红外探测效果的主要因素，选取环境温度、相对湿度、能见度、辐通量、目标高度和探测距离为评价指标。针对神经网络良好的非线性映射功能及高精度的特点，构建了BP网络评估模型，实验表明，该方法简单有效，评估精度较高，具有很强的实际应用价值。

关键词: 红外探测器, 神经网络, 评估模型

Abstract: Infrared detector equipment is an important part of infrared system, and to evaluate its performance has a practical significance. The main impact factor is analyzed, and environment temperature, relative humidity, visibility, radiant flux, target height and detection range are selected for evaluation index. In view of the nonlinear mapping function of neural network is good and the characteristics of high precision,the BP network evaluation model is set up, the experiment expresses that the method is simple and effective, evaluation precision is high, and has more actual application value.

Key words: Infrared detector, Neural network, Evaluation model

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