A Cooperative Approach to Sensor Localisation in Distributed Fusion Networks
- Submitting institution
-
University of Edinburgh
(joint submission with Heriot-Watt University)
- Unit of assessment
- 12 - Engineering
- Output identifier
- 58711236
- Type
- D - Journal article
- DOI
-
10.1109/TSP.2015.2493981
- Title of journal
- IEEE Transactions on Signal Processing
- Article number
- -
- First page
- 1187
- Volume
- 64
- Issue
- 5
- ISSN
- 1053-587X
- Open access status
- Out of scope for open access requirements
- Month of publication
- October
- Year of publication
- 2015
- 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
-
2
- Research group(s)
-
C - SSS
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Introduced an algorithm for the opportunistic self-calibration of multi-sensor systems. A key feature is the complexity only grows linearly with the number of measurements. The associated analysis guides the use of the algorithm in practice. This work led to the award of an industrial research contract (Defence and Securities Accelerator, ACC102185, £90k) where Cubica Technology Ltd demonstrated the algorithm on live data, and to a joint publication with that company (DoI: 10.1117/12.2303964). This research was used in the Case for Support for EP/S000631/1 “Signal Processing in the Information Age” (£4M) as evidence of strength in scalable algorithms for sensor systems.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
