Tracking of Multiple Closely Spaced Extended Targets Based on Prediction-Driven Measurement Sub-Partitioning Algorithm

Tracking of Multiple Closely Spaced Extended Targets Based on Prediction-Driven Measurement Sub-Partitioning Algorithm

For multiple extended target tracking, the accuracy of measurement partitioning directly affects the target tracking performance, so the existing partitioning algorithms tend to use as many partitions as possible to obtain accurate estimates of target number and states. Unfortunately, this may creat...

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Bibliographic Details
Main Authors: Lifan Sun, Haofang Yu, Zhumu Fu, Zishu He, Fazhan Tao
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Applied Sciences
Subjects:
multiple extended target tracking
prediction-driven measurements sub-partitioning
closely spaced targets
cardinality underestimation
Online Access:https://www.mdpi.com/2076-3417/10/14/5004

Internet

https://www.mdpi.com/2076-3417/10/14/5004

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