Application of data fusion algorithm based on gray model 
combined with Kalman Filter in intelligent ammunition wireless sensor network

Zhi He; Bo Zhang; Tingyang Jiang; Dong Sun

doi:10.1117/12.2675415

25 May 2023 Application of data fusion algorithm based on gray model combined with Kalman Filter in intelligent ammunition wireless sensor network

Zhi He, Bo Zhang, Tingyang Jiang, Dong Sun

Author Affiliations +

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126364S (2023) https://doi.org/10.1117/12.2675415
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

The sensor system is crucial to intelligent munitions and must function with incredibly high accuracy and in real time based on the characteristics of the munition. Additionally, it is difficult to meet the requirements of the munition system given the significant temporospatial redundancy of the conventional sensor system. In this paper, a data fusion algorithm based on prediction gray model combined with Kalman Filter (GMKF) is proposed. The algorithm combines the advantages of Kalman Filter in dealing with sensor noise with the advantages of gray model in fast modeling and prediction. The missile model is simulated by Ansys Fluent, and the algorithm performance of the obtained temperature data set is analyzed. The results show that in wireless sensor networks, GMKF algorithm can greatly reduce communication redundancy, increase network lifetime, and has a high prediction success rate.

Citation Download Citation

Zhi He, Bo Zhang, Tingyang Jiang, and Dong Sun "Application of data fusion algorithm based on gray model combined with Kalman Filter in intelligent ammunition wireless sensor network", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126364S (25 May 2023); https://doi.org/10.1117/12.2675415

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