Informax-Based Data Fusion for Sensor Network

Autor:	Ningfang Song, Chunxi Zhang, Jing Jin, Haiting Tian
Rok vydání:	2009
Předmět:	Engineering business.industry Real-time computing Approximation algorithm Gyroscope Mutual information Network topology Sensor fusion law.invention law Fuse (electrical) Electronic engineering Algorithm design Electrical and Electronic Engineering business Instrumentation Wireless sensor network
Zdroj:	IEEE Sensors Journal. 9:820-827
ISSN:	1530-437X
Popis:	The data fusion algorithm has been developing extensively with the wide application of sensor networks. An Informax-based data fusion algorithm is proposed in this paper. The fusion matrix can be self-adaptive from the mutual information of the sensors output to obtain the maximal approximation of the original signal. In addition, the effects of step-size factor are analyzed. A Gyroscopes Network that uses the Informax algorithm to fuse the gyroscopes output is introduced as an implementation. Furthermore, a prototype has been built and the precision of the gyroscopes network after data fusion was improved about 6.5 times over that of a single gyroscope in prototype.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::48e3a908ef59119e26227f1a7c75ee39 https://doi.org/10.1109/jsen.2009.2022561 Zobrazit plný text záznamu