A fuzzy framework for distributed sensor data processing

Author

Odeberg, Hans

Author_Institution

Dept. of Phys. & Meas. Technol., Linkoping Inst. of Technol., Sweden

fYear

1994

fDate

10-12 May 1994

Firstpage

86

Abstract

In this paper, a unified approach towards the integration of sensor data is presented. Using a modified recursive least squares algorithm, variations in parameter location and measurement noise may be tracked. The introduction of fuzzy logic, and the subsequent development of operators especially suited for sensor integration, enables sensors of radically different nature to be combined in a consistent manner

Keywords

computerised instrumentation; distributed processing; estimation theory; fuzzy logic; intelligent sensors; least squares approximations; parameter estimation; sensor fusion; data processing; distributed sensor; fuzzy logic; measurement noise; modified recursive least squares algorithm; onboard signal processing; parameter estimation; parameter location; sensor integration; Data processing; Fuzzy logic; Fuzzy sets; Histograms; Noise measurement; Physics; Probability; Sensor systems; Signal processing algorithms; Statistical distributions;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1994. IMTC/94. Conference Proceedings. 10th Anniversary. Advanced Technologies in I & M., 1994 IEEE

Conference_Location

Hamamatsu

Print_ISBN

0-7803-1880-3

Type

conf

DOI

10.1109/IMTC.1994.352120

Filename

352120