Journal of Jilin University Science Edition ›› 2020, Vol. 58 ›› Issue (4): 953-959.
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CHEN Ying, DONG Siyu
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Abstract: In view of the diversity of sensor data, we proposed an improved method based on wavelet and neural network data fusion. Firstly, the sensor data was preprocessed. Secondly, wavelet and BP neural network were combined to optimize the data. Finally, the data was fused by calculating the credibility of the sensor. The experimental results of the sensor data fusion effect show that the algorithm is stable and effective for data processing and data fusion. The degree of dispersion of the fusion result is better than that of weighted data fusion, Kalman data fusion and other methods.
Key words: multi-sensor, data fusion, credibility, wavelet neural network
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CHEN Ying, DONG Siyu. Fusion Method Based on Credible Wavelet Neural Network for Multisensor Data[J].Journal of Jilin University Science Edition, 2020, 58(4): 953-959.
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http://xuebao.jlu.edu.cn/lxb/EN/Y2020/V58/I4/953
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