Multi-target tracking using passive doppler measurements

Date

2013-04-26

Author

Guldogan, Mehmet B.
Orguner, Umut
Gustafsson, Fredrik

Metadata

Show full item record

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

Item Usage Stats

11
views

0
downloads

Cite This

In this paper, we analyze the performance of the Gaussian mixture probability hypothesis density (GM-PHD) filter in tracking multiple non-cooperative targets using Doppler-only measurements in a passive sensor network. Clutter, missed detections and multi-static Doppler variances are incorporated into a realistic multi-target scenario. Simulation results show that the GM-PHD filter successfully tracks multiple targets using only Doppler shift measurements in a passive multi-static scenario.

Subject Keywords

Observability, Doppler radar, Doppler shift, Gaussian processes, Passive networks, Probability, Target tracking

URI

https://hdl.handle.net/11511/46499

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar