New results in optimizing surveillance system tracking and data correlation performance in dense multitarget environments-Reference-Cited by-同舟云学术

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New results in optimizing surveillance system tracking and data correlation performance in dense multitarget environments

Published:1973-12 Issue:6 Volume:18 Page:571-582
ISSN:0018-9286
Container-title:IEEE Transactions on Automatic Control
language:en
Short-container-title:IEEE Trans. Automat. Contr.

Author:

Singer R.,Sea R.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx5/9/24134/01100421.pdf?arnumber=1100421

Cited by 60 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

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2. Investigation of Weighted Least Squares Methods for Multitarget Tracking with Multisensor Data Fusion;Journal of Signal Processing Systems;2023-07-01

3. Onboard Information Fusion for Multisatellite Collaborative Observation: Summary, challenges, and perspectives;IEEE Geoscience and Remote Sensing Magazine;2023-06

4. A Distributed Underwater Multi-Target Tracking Algorithm Based on Two-Layer Particle Filter;Journal of Marine Science and Engineering;2023-04-19

5. Probabilistic data association algorithm based on adaptive robust Kalman filtering;Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022);2023-02-02

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