Improved Bearings-Only Multi-Target Tracking with GM-PHD Filtering

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...

Full description

Bibliographic Details
Main Authors: Qian Zhang, Taek Lyul Song
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Sensors
Subjects:
nonlinear estimation
bearings-only measurement
multi-target tracking
Gaussian mixture measurements
passive sensor
Online Access:http://www.mdpi.com/1424-8220/16/9/1469

Similar Items

Similar Items