OPTIMAL LINEAR COOPERATION FOR SIGNAL CLASSIFICATION

doi:10.1109/ICASSP.2016.7472354

	OPTIMAL LINEAR COOPERATION FOR SIGNAL CLASSIFICATION
	Quan, Zhi 1; Ye, Muyang1,2 ; Ding, Zhi2 ; Cui, Shuguang2,3
	2016
会议录名称	2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS
ISSN	2379-190X
卷号	2016-May
页码	3631-3635
发表状态	已发表
DOI	10.1109/ICASSP.2016.7472354
摘要	In distributed inference, cooperation among networked agents can be exploited to enhance the performance of each individual agent. In this paper, we consider signal classification over a network of agents, where each agent observes a certain signal under a particular signal-to-noise ratio (SNR). Each agent produces a statistic that summarizes its observations over a time period and then forwards it to a fusion center for identifying the type of signal in a global manner. A linear cooperation strategy for signal classification is formulated as maximizing the classification probability subject to constrained misclassification probabilities. We show that this problem can be transformed into a convex problem under some conditions and linear cooperation is a simple but effective strategy that can greatly enhance the performance of signal classification over networked agents.
关键词	M-ary hypothesis testing signal classification data fusion distributed inference convex optimization
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
会议地点	Shanghai
会议日期	20-25 March 2016
URL	查看原文
收录类别	CPCI ; EI
语种	英语
资助项目	National Natural Science Foundation of China[61540044]
WOS研究方向	Acoustics ; Engineering
WOS类目	Acoustics ; Engineering, Electrical & Electronic
WOS记录号	WOS:000388373403154
出版者	IEEE
EI入藏号	20162402489212
WOS关键词	DISTRIBUTED DETECTION
原始文献类型	Proceedings Paper
来源库	IEEE
引用统计	正在获取...
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/2026
专题	信息科学与技术学院信息科学与技术学院_硕士生
通讯作者	Quan, Zhi
作者单位	1.Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen, Peoples R China 2.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China 3.Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77843 USA
推荐引用方式 GB/T 7714	Quan, Zhi,Ye, Muyang,Ding, Zhi,et al. OPTIMAL LINEAR COOPERATION FOR SIGNAL CLASSIFICATION[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2016:3631-3635.