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.
Keywords:
- 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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