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This paper proposes a new approach to multi-sensor data fusion. It suggeststhat aggregation of data from multiple sensors can be done more efficientlywhen we consider information about sensors' different characteristics. Similarto most research on effective sensors' characteristics, especially in controlsystems, our focus is on sensors' accuracy and frequency response. A rule-basedfuzzy system is presented for fusion of raw data obtained from the sensors thathave complement characteristics in accuracy and bandwidth. Furthermore, a fuzzypredictor system is suggested aiming for extreme accuracy which is a commonneed in highly sensitive applications. Advantages of our proposed sensor fusionsystem are shown by simulation of a control system utilizing the fusion systemfor output estimation.

Multi-Sensor Fuzzy Data Fusion Using Sensors with Different Characteristics