[1]朱文斌,雷秉山,雷志勇.基于小波变换的红外探测系统信号去噪[J].红外技术,2018,40(11):1047-1051.[doi:10.11846/j.issn.1001_8891.201811004]
 ZHU Wenbin,LEI Bingshan,LEI Zhiyong.Signal Denoising of Infrared Detection System Based on Wavelet Transform[J].Infrared Technology,2018,40(11):1047-1051.[doi:10.11846/j.issn.1001_8891.201811004]
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基于小波变换的红外探测系统信号去噪
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《红外技术》[ISSN:1001-8891/CN:CN 53-1053/TN]

卷:
40
期数:
2018年第11期
页码:
1047-1051
栏目:
出版日期:
2018-11-21

文章信息/Info

Title:
Signal Denoising of Infrared Detection System Based on Wavelet Transform
文章编号:
1001-8891(2018)11-1047-05
作者:
朱文斌1雷秉山2雷志勇1
1. 西安工业大学 电子信息工程学院;2. 西安工业大学 机电工程学院
Author(s):
ZHU Wenbin1LEI Bingshan2LEI Zhiyong1
1. School of Electronic Information Engineering, Xi’an Technological University;
2. School of Mechatronic Engineering, Xi’an Technological University

关键词:
小波分析红外探测转动探测系统红外信号去噪处理
Keywords:
wavelet analysisinfrared detectionrotation detection systeminfrared signal denoising
分类号:
TN215
DOI:
10.11846/j.issn.1001_8891.201811004
文献标志码:
A
摘要:
针对红外探测系统目标识别时漏报警与误触发的问题,基于小波分析理论,对转动探测系统输出的红外信号进行小波去噪处理。构造适用于本系统红外信号去噪处理的阈值函数,通过计算分析与实验验证,采用4层coif小波基函数分解效果最佳。本文构造的阈值函数较传统软、硬阈值函数信噪比(SNR)提高17.52%~34.5%,均方误差(MSE)减小16.15%~20.77%,在不丢失原始波形信息的前提下,使无车辆目标时输出波形平坦、有目标时输出波形光滑,为后期实现车辆目标的识别提供理论依据。
Abstract:
This study aims to solve the fault alarm problem in recognition of vehicle targets using infrared detection systems based on the theory of wavelet analysis. The wavelets are used to denoise the output infrared signal from rotation detection system. Therefore, it is important to create a new threshold function suitable for denoising infrared signals in this system. The computational analysis and experimental verification reveal that the four-layer “coif” offers the best wavelet decomposition. Here, the SNR increases by 17.52%-34.5% and the MSE decreases by 16.15%-20.77% compared to the traditional soft & hard threshold function. Moreover, the output waveforms with and without the vehicle target are smooth and flat, respectively. It provides a theoretical basis for accomplishing vehicle target recognition later.

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备注/Memo

备注/Memo:
收稿日期:2018-03-19;修订日期:2018-06-12.
作者简介:朱文斌(1994-),男,江苏南京人,硕士,主要从事信号处理与目标识别方面的研究工作。E-mail:vebenamos@163.com。
通信作者:雷志勇(1962-),男,陕西大荔人,教授,博士研究生导师,长期从事计算机测控技术、数字图像处理及计算视觉、智能传感与信息融合等领域的研究工作。
基金项目:西安工业大学科研创新团队建设计划资助。

更新日期/Last Update: 2018-11-20