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Multi?sensor Data Fusion Method Based on Adaptive Weighting AlgorithmChinese Full Text

TANG Zhiyi;CAI Ying;WANG Hui;The 28th Research Institute of China Electronics Technology Group Corporation;

Abstract: In order to reduce the signal when detecting cracks in vehicle water tank,the multi-sensor data fusion method based on the adaptive weighting algorithm is proposed. Firstly,the self-adapting weighting algorithm is used to fuse the signals of multi-sensor. Then,the Kalman filtering algorithm is used to decrease the noise in the result. Finally,the processing results of single sensor and multi-sensor are analyzed and compared by building the test platform. The experimental results show that this method is better than the single sensor method for signal noise reduction.
  • DOI:

    10.15908/j.cnki.cist.2022.05.012

  • Series:

    (I) Electronic Technology & Information Science; (C) Architecture/ Energy/ Traffic/ Electromechanics, etc

  • Subject:

    Weapon Industry and Military Technology; Automation Technology

  • Classification Code:

    E923.36;TP212

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