Achieving Autonomous Compressive Spectrum Sensing for Cognitive Radios
- Submitting institution
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University of Northumbria at Newcastle
- Unit of assessment
- 12 - Engineering
- Output identifier
- 25205885
- Type
- D - Journal article
- DOI
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10.1109/TVT.2015.2408258
- Title of journal
- IEEE Transactions on Vehicular Technology
- Article number
- -
- First page
- 1281
- Volume
- 65
- Issue
- 3
- ISSN
- 0018-9545
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- 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
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Proposed an autonomous compressive spectrum sensing framework that enables a cognitive radio to automatically choose an appropriate number of sub-Nyquist measurements while guaranteeing the wideband spectrum recovery with a small predictable recovery error. The work was critical in gaining a new successful EPSRC project EP/P005950/1 (£101k, ranked 1st at panel in category) with project partners Intel Corporation Ltd and Sunamp Ltd, where it formed the basis of WP2. Also underpinned a new successful EU H2020 Project ‘TESTBED’ (No. 734325, €882k, 2017-2019) involving 8 academic and industry partners from 4 countries, where the proposed algorithm formed the basis of WP3.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
