Research on vehicle detection and classification algorithm based on wireless sensor networks

LIU Gui-lin; KONG Xiang-wei; LIU Hang

doi:10.13873/j.1000-97872010.02.021

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Research on vehicle detection and classification algorithm based on wireless sensor networks

更新时间：2025-09-11

- Research on vehicle detection and classification algorithm based on wireless sensor networks
- Vol. 29, Issue 2, Pages: 9-12(2010)
- 作者机构：
  
  大连理工大学电子工程系
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872010.02.021
  CLC： TP274
- Published：2010
- 稿件说明：
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[1]刘桂林,孔祥维,刘航.基于无线传感器网络的车辆检测识别算法研究[J].传感器与微系统,2010,29(02):9-12.

LIU Gui-lin, KONG Xiang-wei, LIU Hang. Research on vehicle detection and classification algorithm based on wireless sensor networks[J]. 2010, 29(2): 9-12.
[1]刘桂林,孔祥维,刘航.基于无线传感器网络的车辆检测识别算法研究[J].传感器与微系统,2010,29(02):9-12. DOI： 10.13873/j.1000-97872010.02.021.

LIU Gui-lin, KONG Xiang-wei, LIU Hang. Research on vehicle detection and classification algorithm based on wireless sensor networks[J]. 2010, 29(2): 9-12. DOI： 10.13873/j.1000-97872010.02.021.

摘要

针对无线传感器网络（WSNs）的特点

利用车辆发出的声音信号

提出并研究了一种改进的信号检测算法

能够有效地从被噪声严重污染的声音信号中提取出车辆信号。使用小波包变换提取16维信号特征

支持向量机进行目标分类

得到单节点识别结果。提出了基于能量的全局决策融合算法

对多个节点做出的决策进行融合

得到网络的最终识别结果。为了评估算法

使用了来自DARPA SensIT实验中的真实数据

其中包含了履带车和重型卡车的大量声音信号。实验结果表明:该算法用于WSNs中的车辆识别方面是有效的。

Abstract

Aimed at the characteristics of the wireless sensor networks

an improved algorithm is presented for signal dectection in order to reduce the false alarm rate

by using battlefield vehicle acoustic signal.Wavelet packet transform is used to extract 16-dimensional signal feature

support vector machine in classifing target.Energy-based global decision fusion algorithm is proposed to work out the final result.For evaluation purposes

real data are used from DARPA’s SensIT project

which contains lots of acoustic signals of two types of vehicle

a tracked vehicle and a heavy truck.The experiment results show that the algorithm is valid for battlefield vehicle classification based on wireless sensor networks.

关键词

Keywords

references

基于无线传感器网络的声目标识别算法研究 [J]. 宋海涛,何明一,段渭军,王福豹. 电子测量技术 . 2007(12)

基于小波包分解的声目标识别 [J]. 周阿娟,郭相科,谢瑶. 空军工程大学学报(自然科学版) . 2007(06)

无线传感器网络[M]. 清华大学出版社 , 孙利民等编著, 2005

模式识别[M]. 清华大学出版社 , 边肇祺等编著, 2000

Vehicle classification in distributed sensor networks [J] . Marco F Duarte,Yu Hen Hu. Journal of Parallel and Distributed Computing . 2004 (7)

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