Abstract
Low earth orbit (LEO) satellite communication systems are the key parts of Space-Air-Ground networks. In order to deal with the scarcity of spectrum source, generalized frequency division multiplexing (GFDM) becomes a candidate for next generation LEO satellite systems. In LEO satellite communication systems, channel estimation is an indispensable technique to adapt to complex satellite channel environment. Because of the non-orthogonality between GFDM subcarriers, conventional channel estimation techniques can’t achieve the desired performance. We propose a Turbo receiver channel estimation method with threshold control to improve the channel estimation performance by utilizing the feedback information from Turbo decoder. The numerical and analytical results show that the proposed method can achieve better performance over LEO satellite channel.
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Acknowledgment
This work was supported by the National Natural Science Foundations of China under Grant No. 61301131 and 61601221, the Natural Science Foundations of Jiangsu Province under Grant No. BK20140828, the China Postdoctoral Science Foundations under Grant No. 2015M580425 and the Fundamental Research Funds for the Central Universities under Grant No. 3132016347 and DUT16RC(3)045.
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Pan, Z., Na, Z., Liu, X., Lu, W. (2018). Channel Estimation in Next Generation LEO Satellite Communicastion Systems. In: Meng, L., Zhang, Y. (eds) Machine Learning and Intelligent Communications. MLICOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 251. Springer, Cham. https://doi.org/10.1007/978-3-030-00557-3_25
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DOI: https://doi.org/10.1007/978-3-030-00557-3_25
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