Tracking-Aided Classification of Targets Using Multihypothesis Sequential Probability Ratio Test-Reference-Cited by-同舟云学术

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Tracking-Aided Classification of Targets Using Multihypothesis Sequential Probability Ratio Test

Published:2018-02 Issue:1 Volume:54 Page:233-245
ISSN:0018-9251
Container-title:IEEE Transactions on Aerospace and Electronic Systems
language:
Short-container-title:IEEE Trans. Aerosp. Electron. Syst.

Author:

Gao Yongxin,Liu Yu,Li X. Rong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Aerospace Engineering

Link

http://xplorestaging.ieee.org/ielx7/7/8283929/08023772.pdf?arnumber=8023772

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimum Complexing of Measurements when Maintaining a Maneuvering Object in Statistically Uncertain Situations;Известия Российской академии наук. Теория и системы управления;2023-01-01

2. Optimum Complexing of Measurements when Maintaining a Maneuvering Object in Statistically Uncertain Situations;Journal of Computer and Systems Sciences International;2022-12

3. A Classification-Aided Recurrent Neural Network for Tracking in Urban Terrain;2022 IEEE Radar Conference (RadarConf22);2022-03-21

4. Multi-Target Joint Detection; Tracking and Classification Based on Marginal GLMB Filter and Belief Function Theory;Sensors;2020-07-29

5. Refined PHD Filter for Multi-Target Tracking under Low Detection Probability;Sensors;2019-06-26

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