File(s) not publicly available
A low complexity modulation classification algorithm for mimo systems
journal contribution
posted on 2023-06-09, 06:57 authored by Michael S Muhlhaus, Menguc OnerMenguc Oner, Octavia A Dobre, Friedrich JondralA novel algorithm is proposed for automatic modulation classification in multiple-input multiple-output spatial multiplexing systems, which employs fourth-order cumulants of the estimated transmit signal streams as discriminating features and a likelihood ratio test (LRT) for decision making. The asymptotic likelihood function of the estimated feature vector is analytically derived and used with the LRT. Hence, the algorithm can be considered as asymptotically optimal for the employed feature vector when the channel matrix and noise variance are known. Both the case with perfect channel knowledge and the practically more relevant case with blind channel estimation are considered. The results show that the proposed algorithm provides a good classification performance while exhibiting a significantly lower computational complexity when compared with conventional algorithms.
History
Publication status
- Published
Journal
IEEE Communications LettersISSN
1089-7798Publisher
Institute of Electrical and Electronics EngineersExternal DOI
Issue
10Volume
17Page range
1881-1884Department affiliated with
- Engineering and Design Publications
Research groups affiliated with
- Sensor Technology Research Centre Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2017-06-30Usage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC