2012-01-01
Cyclostationarity-based robust algorithms for QAM signal identification
Publication
Publication
IEEE Communications Letters
,
Volume 16
-
Issue 1
p. 12-
15
This 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.
| Additional Metadata | |
|---|---|
| Keywords | Quadrature amplitude modulation, signal cyclostationarity, signal identification |
| Persistent URL | dx.doi.org/10.1109/LCOMM.2011.112311.112006 |
| Journal | IEEE Communications Letters |
| Citation |
Dobre, O.A. (Octavia A.), Öner, M. (Mengüç), Rajan, S, & Inkol, R. (Robert). (2012). Cyclostationarity-based robust algorithms for QAM signal identification. IEEE Communications Letters, 16(1), 12–15. doi:10.1109/LCOMM.2011.112311.112006
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