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An Improved Preamble Detection Method for LTE-A PRACH Based on Doppler Frequency Offset Correction

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Communications and Networking (ChinaCom 2018)

Abstract

In the random access process of the Long Term Evolution Advanced (LTE-A) system, the Doppler shift influences the detection of the Physical Random Access Channel (PRACH) signal, resulting in the appearance of the pseudo correlation peaks at the receiving end. In the 3GPP protocol, the frequency offset in the mid-speed and low-speed modes is not processed, and the frequency offset processing algorithm in the high-speed mode only applies to the case where the Doppler frequency offset does not exceed the unit sub-carrier. For solve the problem, a three-step improvement method is proposed. The first step is to perform the maximum likelihood (ML) offset estimation to do the frequency offset correction; the second step is to perform the sliding average filter processing to eliminate the influence of multipath; the third step is to use multiple sliding window peak detection algorithm. Compared with the traditional algorithm, the performance of the proposed method is better. And the false alarm performance under the AWGN channel is at least 3.8 dB better, and the false alarm performance under ETU channel is at least 1 dB better.

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 Yajing Zhang .

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

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Zhang, Y., Zhang, Z., Hu, X. (2019). An Improved Preamble Detection Method for LTE-A PRACH Based on Doppler Frequency Offset Correction. 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_56

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  • DOI: https://doi.org/10.1007/978-3-030-06161-6_56

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-06160-9

  • Online ISBN: 978-3-030-06161-6

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