Mosquera, Carlos and Scalise, Sandro and Lopez Valcarce, Roberto (2006) Non-Data-Aided Symbol RateEstimation of Linearly Modulated Signals. IEEE Transactions on Signal Processing, pp. 664-674. IEEE. DOI: 10.1109/TSP.2007.907888. ISSN 1053-587X.
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Official URL: http://ewh.ieee.org/soc/sps/tsp/
The estimation of the symbol rate of a linearly modulated signal is addressed, with special focus on low signal-to-noise ratio (SNR) scenarios. This problem finds application in automatic modulation classification and signal monitoring. A maximum-likelihood (ML) approach is adopted to derive practical estimators, exploiting information on the cyclostationarity of the modulated signal as well as knowledge of the received signaling pulse shape. The structure of the ML estimator suggests a two-step estimation procedure, whereby an initial coarse search determines first a neighborhood from which a subsequent fine search yields the final symbol rate estimate. Links between the ML approach and previous results from the literature in symbol rate estimation are established as well. The proposed scheme is applicable even for small excess bandwidths, at the cost of a higher complexity with respect to simpler estimators known to fail under such conditions.
|Title:||Non-Data-Aided Symbol RateEstimation of Linearly Modulated Signals|
|Journal or Publication Title:||IEEE Transactions on Signal Processing|
|In ISI Web of Science:||Yes|
|Page Range:||pp. 664-674|
|Keywords:||Cyclostationarity, frequency estimation, maximum- likelihood (ML) estimation, non-data-aided, synchronization.|
|HGF - Research field:||Aeronautics, Space and Transport (old)|
|HGF - Program:||Space (old)|
|HGF - Program Themes:||W - no assignement|
|DLR - Research area:||Space|
|DLR - Program:||W - no assignement|
|DLR - Research theme (Project):||W -- no assignement (old)|
|Institutes and Institutions:||Institute of Communication and Navigation > Digital Networks|
|Deposited By:||Dr.-Ing. Sandro Scalise|
|Deposited On:||21 Jan 2008|
|Last Modified:||15 Jan 2010 00:54|
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