Track-Before-Detect Algorithm Based on Improved Auxiliary Particle PHD Filter under Clutter Background

Track-Before-Detect Algorithm Based on Improved Auxiliary Particle PHD Filter under Clutter Background

Under the clutter background condition, the existing particle filter pre-detection tracking algorithm based on Probability Hypothesis Density (PHD) filtering is not accurate enough to estimate the number of targets in dense multi-objectives. In this study, the concept of two-layer particle is introd...

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Bibliographic Details
Main Authors: PEI Jiazheng, HUANG Yong, DONG Yunlong, HE You, CHEN Xiaolong
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2019-06-01
Series:Leida xuebao
Subjects:
Parallel Partition (PP)
Auxiliary Particle Filter (APF)
Probability Hypothesis Density (PHD)
Track-Before-Detect (TBD)
Random Finite Set (RFS)
Online Access:http://radars.ie.ac.cn/article/doi/10.12000/JR18060?viewType=HTML

Internet

http://radars.ie.ac.cn/article/doi/10.12000/JR18060?viewType=HTML

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