基于WSN和盲源分离的多目标识别方法研究

doi:10.11959/j.issn.2096-3750.2019.00095

物联网学报 ›› 2019, Vol. 3 ›› Issue (1): 45-50.doi: 10.11959/j.issn.2096-3750.2019.00095

基于WSN和盲源分离的多目标识别方法研究

何鹏举^1,²,刘刚易²,刘寺意³

¹ 西北工业大学深圳研究院，广东深圳 518057
² 西北工业大学自动化学院，陕西西安 710072
³ 常州和仕达电子科技有限公司，江苏常州 213022

修回日期:2019-02-02 出版日期:2019-03-01 发布日期:2019-04-04
作者简介:何鹏举（1961- ），男，甘肃庆阳人，西北工业大学自动化学院副教授，主要研究方向为网络化测控、传感器技术、数字信号处理和盲源分离。|刘刚易（1993- ），男，河南安阳人，西北工业大学自动化学院硕士生，主要研究方向为数字信号处理和盲源分离。|刘寺意（1972- ），男，湖北随州人，现就职于常州和仕达电子科技有限公司，主要研究方向为自组织网络通信和信号处理。
基金资助:
深圳市科技计划项目(JCYJ20170306154611415);西安市科技计划项目(2017086CG/RC049)

Research on multi-target recognition method based on WSN and blind source separation

Pengju HE^1,²,Gangyi LIU²,Siyi LIU³

¹ Research ＆ Development Institute of Northwestern Polytechnical University in Shenzhen,Shenzhen 518057,China
² School of Automation,Northwestern Polytechnical University,Xi’an 710072,China
³ Changzhou Heroeast Electronic Technology Co.,Ltd.,Changzhou 213022,China

Revised:2019-02-02 Online:2019-03-01 Published:2019-04-04
Supported by:
Shenzhen Science and Technology Project(JCYJ20170306154611415)

摘要/Abstract

摘要：

针对利用无线传感器网络进行多目标检测识别中存在的信号混叠问题，提出一种可以确定目标个数的盲源分离算法对混叠信号进行分离，得到准确的源信号。该算法以多路混合观测信号为研究对象，提出采用基于特征值方法确定多路混合信号中独立信源的个数，运用基于非负矩阵分解的盲源分离算法得到分离信号。实验结果表明，本文所提算法能够确定目标个数、得到正确的分离信号，可用于解决多目标检测识别中的信号混叠问题。

关键词: 无线传感器网络, 多目标识别, 盲源分离, 非负矩阵分解

Abstract:

Aiming at the problem of signal aliasing in multi-target detection and recognition using wireless sensor network (WSN),a blind source separation algorithm was proposed,which can determine the number of targets and obtain the accurate source signals.In this algorithm,the multichannel mixed signal was used as the analysis object,the number of source signals was determined based on the eigenvalue method and then the blind source separation algorithm based on the non-negative matrix factorization was used to obtain the separation signals.The experimental results indicate that the number of targets can be determined and the accurate separation signals can be obtained by the proposed scheme.It can be applied to solve the problem of signal aliasing in multi-target detection and recognition.

Key words: wireless sensor network (WSN), multi-target recognition,blind source separation (BSS)

中图分类号:

TP393

何鹏举,刘刚易,刘寺意. 基于WSN和盲源分离的多目标识别方法研究[J]. 物联网学报, 2019, 3(1): 45-50.

Pengju HE,Gangyi LIU,Siyi LIU. Research on multi-target recognition method based on WSN and blind source separation[J]. Chinese Journal on Internet of Things, 2019, 3(1): 45-50.

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基于WSN和盲源分离的多目标识别方法研究

Research on multi-target recognition method based on WSN and blind source separation

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