Gaussian Sum FIR Filtering for 2D Target Tracking
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Control and Systems Engineering
Link
http://link.springer.com/content/pdf/10.1007/s12555-018-0938-4.pdf
Reference32 articles.
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2. X. L. P. Wu and Y. Bo, “Iterated square root unscented Kalman filter for maneuvering target tracking using tdoa measurements,” International Journal of Control, Automation, and Systems, vol. 11, no. 4, pp. 761–767, Aug. 2013.
3. B. Li and J. Zhao, “Auxiliary particle bernoulli filter for target tracking,” International Journal of Control, Automation, and Systems, vol. 15, no. 3, pp. 1249–1258, Jun. 2017.
4. B. Li, “Multiple-model rao-blackwellized particle probability hypothesis density filter for multitarget tracking,” International Journal of Control, Automation, and Systems, vol. 13, no. 2, pp. 426–433, Apr. 2015.
5. P.. Gutman and M. Velger, “Tracking targets using adaptive Kalman filtering,” IEEE Transactions on Aerospace and Electronic Systems, vol. 26, no. 5, pp. 691–699, Sep. 1990.
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