This paper proposes a new approach to multi-sensor data fusion. It suggests that aggregation of data from multiple sensors can be done more efficiently when we consider information about sensors’ different characteristics. Similar to most research on effective sensors’ characteristics, especially in control systems, our focus is on sensors’ accuracy and frequency response. A rule-based fuzzy system is presented for fusion of raw data obtained from the sensors that have complement characteristics in accuracy and bandwidth. Furthermore, a fuzzy predictor system is suggested aiming for extreme accuracy which is a common need in highly sensitive applications. Advantages of our proposed sensor fusion system are shown by simulation of a control system utilizing the fusion system for output estimation.
Amin Ahmad Akhoundi,M. and Valavi,E. (2019). Multi-Sensor Fuzzy Data Fusion Using Sensors with Different Characteristics. (e215920). The CSI Journal on Computer Science and Engineering, 16(2), e215920
MLA
Amin Ahmad Akhoundi,M. , and Valavi,E. . "Multi-Sensor Fuzzy Data Fusion Using Sensors with Different Characteristics" .e215920 , The CSI Journal on Computer Science and Engineering, 16, 2, 2019, e215920.
HARVARD
Amin Ahmad Akhoundi M., Valavi E. (2019). 'Multi-Sensor Fuzzy Data Fusion Using Sensors with Different Characteristics', The CSI Journal on Computer Science and Engineering, 16(2), e215920.
CHICAGO
M. Amin Ahmad Akhoundi and E. Valavi, "Multi-Sensor Fuzzy Data Fusion Using Sensors with Different Characteristics," The CSI Journal on Computer Science and Engineering, 16 2 (2019): e215920,
VANCOUVER
Amin Ahmad Akhoundi M., Valavi E. Multi-Sensor Fuzzy Data Fusion Using Sensors with Different Characteristics. CSIonJCSE, 2019; 16(2): e215920.
The CSI Journal on Computer Science and Engineering