Title :
A fuzzy framework for distributed sensor data processing
Author_Institution :
Dept. of Phys. & Meas. Technol., Linkoping Inst. of Technol., Sweden
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;
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
DOI :
10.1109/IMTC.1994.352120
