Cubature Kalman Filter Based Multi-sensor Data Fusion Algorithm for Maneuvering Target Tracking-Reference-Cited by-同舟云学术

Cubature Kalman Filter Based Multi-sensor Data Fusion Algorithm for Maneuvering Target Tracking

Published:2020-12-17 Issue: Volume: Page:577-584
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Guo Zhi,Dong Chunyun,Yang Xu,Han Hui,Sun Qifeng,Zhang Jian

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-33-4102-9_70

Reference10 articles.

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2. Huang, Y., Zhang, Y., Shi, P., Wu, Z., Qian, J., Chambers, J.A.: Robust Kalman filters based on Gaussian scale mixture distributions with application to target tracking. Syst. Man Cybern. 49(10), 2082–2096 (2019)

3. Li, X.R., Jilkov, V.P.: Survey of maneuvering target tracking. Part II: Motion models of maneuvering and space targets. IEEE Trans. Aerosp. Electron. Syst. 46(1), 96–119 (2010)

4. Guang, Z., Xingzi, B., Hanyu, Z., Bin, L.: Non-cooperative maneuvering spacecraft tracking via a variable structure estimator. Aerosp. Sci. Technol. 79, 352–363 (2018)

5. Zhang, X., Wang, G., Song, Z., Gu, J.: Hypersonic sliding target tracking in near space. Defence Technol. 11(4), 370–381 (2015)

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