Research Article
Blind Symbol Rate Estimation of Faster-than-Nyquist Signals Based on Higher-Order Statistics
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@INPROCEEDINGS{10.1007/978-3-319-76207-4_17, author={Albert Abell\^{o} and Damien Roque and Jean-Marie Freixe}, title={Blind Symbol Rate Estimation of Faster-than-Nyquist Signals Based on Higher-Order Statistics}, proceedings={Cognitive Radio Oriented Wireless Networks. 12th International Conference, CROWNCOM 2017, Lisbon, Portugal, September 20-21, 2017, Proceedings}, proceedings_a={CROWNCOM}, year={2018}, month={3}, keywords={Blind symbol rate estimation Spectrum sensing Faster-than-Nyquist signaling Cyclostationary signals Higher-order statistics}, doi={10.1007/978-3-319-76207-4_17} }- Albert Abelló
Damien Roque
Jean-Marie Freixe
Year: 2018
Blind Symbol Rate Estimation of Faster-than-Nyquist Signals Based on Higher-Order Statistics
CROWNCOM
Springer
DOI: 10.1007/978-3-319-76207-4_17
Abstract
Both faster-than-Nyquist (FTN) and cognitive radio go towards an efficient use of spectrum in radio communications systems at the cost of an added computational complexity at the receiver side. To gain the maximum potential from these techniques, non-data-aided receivers are of interest. In this paper, we use fourth-order statistics to perform blind symbol rate estimation of FTN signals. The estimator shows good performance results for moderate system’s densities beyond the Nyquist rate and for a reasonable number of received samples.
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