电子学报 ›› 2018, Vol. 46 ›› Issue (12): 3002-3007.DOI: 10.3969/j.issn.0372-2112.2018.12.025

• 学术论文 • 上一篇    下一篇

基于超宽带厘米波的液体安检感知机模型

周冬梅1,3, 包桦楠1, 邱实2   

  1. 1. 成都理工大学信息科学与技术学院, 四川成都 610059;
    2. 中国科学院西安光学精密机械研究所, 陕西西安 710119;
    3. 西南交通大学交通运输与物流学院, 四川成都 610031
  • 收稿日期:2017-03-27 修回日期:2017-07-05 出版日期:2018-12-25
    • 通讯作者:
    • 邱实
    • 作者简介:
    • 周冬梅 女1973年生,成都理工大学副教授,西南交通大学在读博士,研究方向:微波技术、通信技术、交通安全工程.E-mail:zhoudm@cdut.edu.cn;包桦楠 男1993年生,成都理工大学硕士研究生,研究方向:数据分析、机器学习、嵌入式系统.E-mail:huananbao@foxmail.com
    • 基金资助:
    • 中国科学院"西部之光"项目 (No.XAB2016B23); 四川省科技厅科技支撑项目 (No.2015FZ0051); 四川省科技厅重点研发项目 (No.18ZDYF3425); 中国科学院光谱成像重点实验室开放基金项目 (No.LSIT201717G); 四川省教育厅自然科学类重点基金项目 (No.15ZA0067)

The New Method of Liquid Security Based on Perceptron Model and Ultra-Wideband Centimeter Wave

ZHOU Dong-mei1,3, BAO Hua-nan1, QIU Shi2   

  1. 1.College of Information Science & Technology, Chengdu University of Technology, Chengdu, Sichuan 610059, China;
    2.Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, Shaanxi 710119, China;
    3.School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, Sichuan 610031, China
  • Received:2017-03-27 Revised:2017-07-05 Online:2018-12-25 Published:2018-12-25
    • Corresponding author:
    • QIU Shi
    • Supported by:
    • Program of West Light Foundation of The Chinese Academy of Sciences (No.XAB2016B23); Science and Technology Support Program of Science and Technology Department of Sichuan Province (No.2015FZ0051); Key Research and Development Program of Science and Technology Department of Sichuan Province (No.18ZDYF3425); Open Fund of Key Laboratory of Spectral Imaging Technology,  CAS (No.LSIT201717G); Key Project of Natural Science Foundation of Education Department of Sichuan Province (No.15ZA0067)

摘要: 针对常用安检技术对液体危险品检测存在效率低等问题,提出一种利用散射参数曲线特征识别液体危险品的方法.厘米波通过介电常数和粘稠度有区别的液体时,相应散射参数曲线的特征有所不同.利用超宽带技术收集大量的采样点以达到精确描述散射参数曲线的目的.感知机模型通过识别散射参数曲线的特征对待测液体的危险程度进行分类.实验表明识别正确率达到96%以上.

 

关键词: 感知机, 液体危险品, 散射参数, 曲线特征, 超宽带

Abstract: Common security technology for liquid dangerous goods is unreliable and inefficient. This paper proposes a approach which using characteristics of scattering parameters curve to identify liquid dangerous goods. When centimeter waves penetrate liquids that have different dielectric constants and viscosities, the characteristics of the corresponding scattering parameter curves are different. The instrument uses Ultra-wideband technology to collect a large number of sampling points. These points describe the scattering parameter curve accurately. The perceptron model classifies the liquid by identifying the characteristics of the scattering parameter curve. Experiments show that the recognition rate is over 96%.

 

Key words: perceptron, liquid dangerous goods, scattering parameters, curve characteristics, ultra-wideband

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