Multi-sensor Information Fusion Algorithm Based on Power-Average Operator and D-S Evidence Theory

Author:

Chen Bohang,Ma Jun,Yongjie Zhou,Zhang Lingfei

Publisher

Springer International Publishing

Reference16 articles.

1. Din, S., Ahmad, A., Paul, A., et al.: A cluster-based data fusion technique to analyze big data in wireless multi-sensor system. IEEE Access 5, 5069–5083 (2017)

2. Liu, L., Ji, H., Zhang, W., et al.: Multi-sensor multi-target tracking using probability hypothesis density filter. IEEE Access 7, 67745–67760 (2019)

3. Han, C., Zhu, H., Duan, Z.: Multi-source Information Fusion (Second Edition). Tsinghua University Press, Beijing

4. Zhao, G., Chen, A., Lu, G., et al.: Data fusion algorithm based on fuzzy sets and d-s theory of evidence. Tsinghua Sci. Technol. 1, 12–19 (2018)

5. Zhang, Y., Sun, L., Zheng, G.: Approach to multi-sensor decision fusion based on improved Jousselme evidence distance. Instr. Tech. Sensor (7), 82–87 (2019)

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