Gaussian mixture PHD filter for multi-target tracking using passive doppler-only measurements

Date

2012-05-17

Author

Guldogan, Mehmet B.
Orguner, Umut
Gustafsson, Fredrik

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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In this paper, we analyze the performance of the Gaussian mixture probability hypothesis density (GM-PHD) filter in tracking multiple non-cooperative targets using a passive sensor network. Non-cooperative transmissions from illuminators of opportunity like GSM base stations, FM radio transmitters or digital broadcasters are exploited by non-directional separately located Doppler measuring sensors. Clutter, missed detections and multi-static Doppler variances are incorporated into a realistic multi-target scenario. Simulation results show that the GM-PHD filter success fully tracks multiple targets using only Doppler shift measurements in a passive multi-static scenario.

Subject Keywords

Random sets, Multi-target tracking, Gaussian mixture probability hypothesis density filter, Doppler measurements

URI

https://hdl.handle.net/11511/46822

DOI

https://doi.org/10.1049/cp.2012.0417

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

M. B. Guldogan, U. Orguner, and F. Gustafsson, “Gaussian mixture PHD filter for multi-target tracking using passive doppler-only measurements,” 2012, vol. 2012, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46822.