Modulation Recognition in Multipath Fading Channels Using Cyclic Spectral Analysis
Document Type
Article
Publication Date
12-8-2008
Identifier/URL
40253489 (Pure); 67249114346 (QABO)
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Abstract
In this paper, we propose a novel signal classification method using cyclic spectral analysis and neural networks for multipath fading channels. The proposed system provides excellent classification performance in realistic multipath fading channels at low SNR, while assuming no a priori knowledge of the signal statistics, including carrier frequency, phase offset, or symbol rate. Due to its insensitivity to these statistics and its robustness to multipath fading channels, the spectral coherence function (SOF) is employed in the proposed system to produce a highly reliable classifier. Additionally, by employing a multiple-antenna based system, even greater advantages are achieved by exploiting spatial diversity. Numerical results demonstrate the classifier performance under a variety of channel conditions.
Repository Citation
Like, E.,
Chakravarthy, V.,
Husnay, R.,
& Wu, Z.
(2008). Modulation Recognition in Multipath Fading Channels Using Cyclic Spectral Analysis. IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference, 3044-3049.
https://corescholar.libraries.wright.edu/ee/255
DOI
10.1109/GLOCOM.2008.ECP.584
