Abstract
Asynchronous data fusion is more practical than synchronous data fusion, the model of track-to-track fusion in this case has been established and the concept of Track Quality with Multiple Model (TQMM) was put forward, furthermore a data fusion algorithm is proposed, in which the TQMM is used to assign weights, to improve tracking precision in asynchronous multi-sensor data fusion system. The simulation results show that the algorithm has a better tracking performance compared with original algorithms.
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Acknowledgement
The paper is partially supported by the National Natural Science Foundation of China (Nos. 61571104), the 6th Innovation and Entrepreneurship Leading Talents Project of Dongguan, the General Project of Scientific Research of the Education Department of Liaoning Province (No. L20150174), and the Program for New Century Excellent Talents in University (No. NCET-11-0075), and Project of Science and Technology on Electronic Information Control Laboratory.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhang, K., Wang, Z., Li, H. (2019). A Data Fusion Algorithm and Simulation Based on TQMM. In: Song, H., Jiang, D. (eds) Simulation Tools and Techniques. SIMUtools 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 295. Springer, Cham. https://doi.org/10.1007/978-3-030-32216-8_20
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DOI: https://doi.org/10.1007/978-3-030-32216-8_20
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