Combined Point-Mass and Particle Filter for Target Tracking

Date

2010-03-13

Author

Orguner, Umut
Tornqvist, David
Gustafsson, Fredrik

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This paper presents a combined Point Mass Filter (PMF) and Particle Filter (PF), which utilizes the support of the PMF and the high particle density in the PF close to the current estimate. The result is a filter robust to unexpected process events but still with low error covariance. This filter is especially useful for target tracking applications, where target maneuvers suddenly can change unpredictably.

Subject Keywords

Particle filters, Target tracking, State-space methods, Automatic control, Robustness, Linear approximation

URI

https://hdl.handle.net/11511/46943

DOI

https://doi.org/10.1109/aero.2010.5446678

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

U. Orguner, D. Tornqvist, and F. Gustafsson, “Combined Point-Mass and Particle Filter for Target Tracking,” 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46943.