Publication: Superimposed Training for Channel Estimation in FBMC-OQAM
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2017-09-24
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IEEE
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Abstract
Wireless broadband communication systems are always requiring higher data rates. In order to achieve this goal, we should provide advanced schemes which are capable of improving the spectral efficiency and reusing, in a better way, the available radio spectrum resources. Filter Bank Multi-Carrier Offset Quadrature Amplitude Modulation (FBMC-OQAM) combined with Superimposed Training (ST) is a promising technique with a very high spectral efficiency. This improvement is due to the low out-of-band emissions of FBMC-OQAM, because it uses a well-designed prototype filter, and the lack of dedicated pilot tones owing to ST scheme. However, this combination is not straightforward due to the appearance of the self-interference at receiver side in FBMC-OQAM. In this paper, we provide a novel channel estimation which is capable of dealing with this self-interference in the context of combining these two techniques.
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Proceedings of: 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)
Keywords
Channel estimation, Interference, Ofdm, Prototypes, Training, Filter banks, Time-frequency analysis
Bibliographic citation
Chen-Hu, K., Estrada-Jimenez, J. C., Fernandez-Getino Garcia, M. J. & Garcia Armada, A. (24-27 september, 2017). Superimposed Training for Channel Estimation in FBMC-OQAM. In: 2017 IEEE 86th Vehicular Technology Conference (VTC2017-Fall), pp- 1-5.