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Information Journal Paper

Title

Multi-Sensor Fuzzy Data Fusion Using Sensors with Different Characteristics

Pages

  44-53

Abstract

 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.

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    • Cite

    APA: Copy

    Ahmad Akhoundi, Mohammad Amin, & VALAVI, EHSAN. (2019). Multi-Sensor Fuzzy Data Fusion Using Sensors with Different Characteristics. THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING, 16(2), 44-53. SID. https://sid.ir/paper/775829/en

    Vancouver: Copy

    Ahmad Akhoundi Mohammad Amin, VALAVI EHSAN. Multi-Sensor Fuzzy Data Fusion Using Sensors with Different Characteristics. THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING[Internet]. 2019;16(2):44-53. Available from: https://sid.ir/paper/775829/en

    IEEE: Copy

    Mohammad Amin Ahmad Akhoundi, and EHSAN VALAVI, “Multi-Sensor Fuzzy Data Fusion Using Sensors with Different Characteristics,” THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING, vol. 16, no. 2, pp. 44–53, 2019, [Online]. Available: https://sid.ir/paper/775829/en

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