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Cyclostationarity-Based Robust Algorithms for QAM Signal Identification
journal contribution
posted on 2023-06-09, 06:57 authored by Octavia A Dobre, Menguc OnerMenguc Oner, Sreeraman Rajan, Robert InkolThis letter proposes two novel algorithms for the identification of quadrature amplitude modulation (QAM) signals. The cyclostationarity-based features used by these algorithms are robust with respect to timing, phase, and frequency offsets, and phase noise. Based on theoretical analysis and simulations, the identification performance of the proposed algorithms compares favorably with that of alternative approaches.
History
Publication status
- Published
Journal
IEEE Communications LettersISSN
1089-7798Publisher
Institute of Electrical and Electronics EngineersExternal DOI
Issue
1Volume
16Page range
12-15Department 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
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