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A Joint Frequency Offset Estimation Method Based on CP and CRS

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Abstract

In order to solve the problem that Fraction Frequency Offset (FFO) estimation algorithm has the problem of low estimation precision, small range and high occupancy rate of spectrum resource, this paper proposed a FFO estimation method based on the combination of Cyclic Prefix (CP) and Cell-specific reference signals (CRS). First, judging the range of the true frequency offset value according to the results of the frequency offset estimation algorithm based on CP. Then the possible true frequency offset value obtained by adding value calculated by frequency offset estimation algorithm based on CRS and the possible rotation value of 2000 nHz. Finally, comparison the results of the frequency offset estimation algorithm based on CP and the possible true frequency offset, the minimum deviation is its true. The accuracy is the same as that frequency offset estimation algorithm that based on CRS. The range is the same as frequency offset estimation algorithm based on CP, which is \(\left[ -7500\,\mathrm{Hz}, 7500\,\mathrm{Hz}\right] \). The principle of the algorithm is simple and does not occupy additional bandwidth resources.

This work is supported by the National Science and Technology Major Project of the Ministry of Science and Technology of China (2015ZX03001013), the Generic Technology Innovation Project of Key Industries in Chongqing (cstc2017zdcy-zdzx0030), the Innovation Team of University in Chongqing (KJTD201312).

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Correspondence to Xiaoling Hu .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Hu, X., Zhang, Z., Zhang, Y. (2019). A Joint Frequency Offset Estimation Method Based on CP and CRS. In: Liu, X., Cheng, D., Jinfeng, L. (eds) Communications and Networking. ChinaCom 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 262. Springer, Cham. https://doi.org/10.1007/978-3-030-06161-6_46

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  • DOI: https://doi.org/10.1007/978-3-030-06161-6_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-06160-9

  • Online ISBN: 978-3-030-06161-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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