Message Passing Enhanced Distributed Kalman Filter for Cooperative Localization

Author:

Xiong Jun1ORCID,Xiong Zhi2ORCID,Zhuang Yuan3ORCID,Cheong Joon Wayn4ORCID,Dempster Andrew G.4ORCID

Affiliation:

1. School of Internet-of-Things, Nanjing University of Posts and Telecommunications, Nanjing, China

2. College of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing, China

3. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

4. School of Electrical, Electronics and Telecommunications Engineering, University of New South Wales, Sydney, NSW, Australia

Funder

National Natural Science Foundation of China

Natural Science Research Start-up Foundation of Recruiting Talents

Nanjing University of Posts and Telecommunications, Nanjing, China

Open Fund of State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

Aeronautic Science Foundation of China

Excellent Youth Foundation of Hubei Scientific Committee

Knowledge Innovation Program of Wuhan-Shuguang

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Reference18 articles.

1. Industrial Applications of the Kalman Filter: A Review

2. Futuremapping 2: Gaussian belief propagation for spatial AI;davison,2019

3. A Factor Graph-Based Distributed Consensus Kalman Filter

4. Exactly Sparse Delayed-State Filters

5. Review of factor graphs for robust GNSS applications;das,2021

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