Cyclostationarity-Based Robust Algorithms for QAM Signal Identification
Cyclostationarity-Based Robust Algorithms for QAM Signal Identification
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DOI：
10.1109/lcomm.2011.112311.112006
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发表时间：
2012-01-01
期刊：
影响因子：
--
通讯作者：
Inkol, Robert
中科院分区：
文献类型：
--
作者：
Dobre, Octavia A.;Oner, Menguc;Inkol, Robert
本文提出了两种新的正交幅度调制（QAM）信号识别算法。这些算法所使用的基于循环平稳性的特征对于定时、相位和频率偏移以及相位噪声是鲁棒的。理论分析和仿真结果表明，所提算法的辨识性能优于其它方法。
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.