Multi-target tracking using passive doppler measurements

Guldogan, Mehmet B.
Orguner, Umut
Gustafsson, Fredrik
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.
Citation Formats
M. B. Guldogan, U. Orguner, and F. Gustafsson, “Multi-target tracking using passive doppler measurements ,” 2013, Accessed: 00, 2020. [Online]. Available: