A Bayesian Approach to Track Multiple Extended Targets Using Particle Filter for Nonlinear System
Author:
Affiliation:
1. The School of Physics and Electronic-Electrical Engineering, Ningxia University, Yinchuan, Ningxia 750021, China
2. School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China
Abstract
Funder
National Natural Science Foundation of China
Publisher
Hindawi Limited
Subject
General Engineering,General Mathematics
Link
http://downloads.hindawi.com/journals/mpe/2018/7424538.pdf
Reference14 articles.
1. Spatial distribution model for tracking extended objects
2. Bayesian approach to extended object and cluster tracking using random matrices
3. Cluster tracking under kinematical constraints using random matrices
4. Tracking of Extended Objects and Group Targets Using Random Matrices
5. Track maintenance using measurements of target extent
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