Joint modulation classification and antenna number detection for MIMO systems
- Submitting institution
-
University of Sussex
- Unit of assessment
- 12 - Engineering
- Output identifier
- 406352_66843
- Type
- D - Journal article
- DOI
-
10.1109/LCOMM.2015.2500898
- Title of journal
- IEEE Communications Letters
- Article number
- -
- First page
- 193
- Volume
- 20
- Issue
- 1
- ISSN
- 1089-7798
- Open access status
- Out of scope for open access requirements
- Month of publication
- November
- Year of publication
- 2015
- URL
-
http://dx.doi.org/10.1109/LCOMM.2015.2500898
- 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)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Non-cooperative classification of the modulation type, and the blind estimation of the number of antennas employed by unknown multiantenna transmitters are key tasks required to identify and classify such systems. This paper is significant because, contrary to the previous work in this area, where those two tasks are treated as separate problems, this work recognizes that they are interrelated on a fundamental theoretical level and proposes a completely new joint decision theoretic approach to perform these two tasks jointly. The performance evaluation of the proposed approach reveals significant benefits compared to the existing approaches.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
