Fusion of finite set distributions: Pointwise consistency and global cardinality
- Submitting institution
-
University College London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 14398
- Type
- D - Journal article
- DOI
-
10.1109/TAES.2019.2893083
- Title of journal
- IEEE Transactions on Aerospace and Electronic Systems
- Article number
- -
- First page
- 2759
- Volume
- 55
- Issue
- 6
- ISSN
- 0018-9251
- Open access status
- Exception within 3 months of publication
- Month of publication
- January
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Tracking an unknown number of targets from multiple platforms is a capstone problem in security and defence. Recent approaches have begun to explore how two dominant schools of thought: Random Finite Sets (RFSs) and Exponential Densities (EMDs) can be combined together. This paper critically analyses earlier approaches and identifies key limitations in approximations. A new decoupled variational technique is derived. This technique has laid the foundation for other researchers to subsequently develop new theoretical solutions for distributed, labelled multi-target tracking including networks operating at multiple rates and sensing systems with different fields of view.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -