Multi-target tracking using passive doppler measurements
- Guldogan, Mehmet B.
- Orguner, Umut
- Gustafsson, Fredrik
Publication date
April 2013
DOI Publisher
Institute of Electrical and Electronics Engineers (IEEE)Abstract
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
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