DocumentCode
1386995
Title
Cyclostationarity-Based Robust Algorithms for QAM Signal Identification
Author
Dobre, Octavia A. ; Öner, Mengüç ; Rajan, Sreeraman ; Inkol, Robert
Author_Institution
Fac. of Eng. & Appl. Sci., Memorial Univ., St. John´´s, NL, Canada
Volume
16
Issue
1
fYear
2012
fDate
1/1/2012 12:00:00 AM
Firstpage
12
Lastpage
15
Abstract
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.
Keywords
quadrature amplitude modulation; signal detection; QAM signal identification; cyclostationarity-based robust algorithms; frequency offsets; phase noise; quadrature amplitude modulation; Algorithm design and analysis; Phase noise; Quadrature amplitude modulation; Robustness; Signal to noise ratio; Timing; Quadrature amplitude modulation; signal cyclostationarity; signal identification;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2011.112311.112006
Filename
6093991
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