Improved Bearings-Only Multi-Target Tracking with GM-PHD Filtering
In this paper, an improved nonlinear Gaussian mixture probability hypothesis density (GM-PHD) filter is proposed to address bearings-only measurements in multi-target tracking. The proposed method, called the Gaussian mixture measurements-probability hypothesis density (GMM-PHD) filter, not only app...
| Main Authors: | , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
MDPI
2016
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038747/ |