An enhanced particle filtering method for GMTI radar tracking
- Submitting institution
-
Loughborough University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 444
- Type
- D - Journal article
- DOI
-
10.1109/TAES.2016.140561
- Title of journal
- IEEE Transactions on Aerospace and Electronic Systems
- Article number
- -
- First page
- 1408
- Volume
- 52
- Issue
- 3
- ISSN
- 0018-9251
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2016
- 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
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper impacts the state of the art in tracking manoeuvring ground targets. This work has led to further collaboration with Dstl CIS division to extend this algorithm for ballistic missile tracking under the MOD University Defence Research Collaboration framework. This work also helped secure a recent £143k 12 months DASA grant (ACC6017373) in collaboration with Livelink Aerospace Ltd, where the work will be used to inform the design of UAV tracking algorithms for Livelink’s RF sensors.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
