Communications and Networking. 13th EAI International Conference, ChinaCom 2018, Chengdu, China, October 23-25, 2018, Proceedings

Research Article

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

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  • @INPROCEEDINGS{10.1007/978-3-030-06161-6_56,
        author={Yajing Zhang and Zhizhong Zhang and Xiaoling Hu},
        title={An Improved Preamble Detection Method for LTE-A PRACH Based on Doppler Frequency Offset Correction},
        proceedings={Communications and Networking. 13th EAI International Conference, ChinaCom 2018, Chengdu, China, October 23-25, 2018, Proceedings},
        proceedings_a={CHINACOM},
        year={2019},
        month={1},
        keywords={Preamble detection Frequency offset correction Sliding average filter processing Multiple sliding window},
        doi={10.1007/978-3-030-06161-6_56}
    }
    
  • Yajing Zhang
    Zhizhong Zhang
    Xiaoling Hu
    Year: 2019
    An Improved Preamble Detection Method for LTE-A PRACH Based on Doppler Frequency Offset Correction
    CHINACOM
    Springer
    DOI: 10.1007/978-3-030-06161-6_56
Yajing Zhang1,*, Zhizhong Zhang2, Xiaoling Hu
  • 1: Chongqing University of Posts and Telecommunications
  • 2: Test Engineering Research Center of Communication Networks
*Contact email: zhangyajing2969@163.com

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.