The fifth-generation (5G) mobile communication technology will be applied to the new generation wireless railway communication system, which introduces new frequency and bandwidth to channel measurement campaign and modeling. Accurate and efficient channel sounder is crucial for the channel measurement, channel modeling, and railway wireless communication systems optimization, while the characteristics of the sounder depend largely on the choice of the sounding waveform, especially in the high mobility scenario. However, the performance of sounder with different waveforms has not yet been sufficiently studied. This paper presents a comparison of different sounding waveforms for wideband correlation channel sounding application, which are pseudo-random noise (PN), Zadoff-Chu (ZC), chirp, and multi-tone, respectively. The wideband correlation channel sounder applys the software-defined radio (SDR) as the hardware platform. Waveform generation, channel sounder architecture, and performance comparison of waveforms are presented as well. Finally, system verification successfully prove that the wideband correlation channel sounder is able to measure CIRs accurately in terms of delay and power with large-range dynamic, which can be helpful for channel sounding of new generation wireless railway communication.


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    Title :

    Comparison of Different Sounding Waveforms for a Wideband Correlation Channel Sounder


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Liang, Jianying (editor) / Jia, Limin (editor) / Qin, Yong (editor) / Liu, Zhigang (editor) / Diao, Lijun (editor) / An, Min (editor) / Zhang, Dongsheng (author) / Ai, Bo (author) / Fei, Dan (author) / Chen, Zhiping (author)

    Conference:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2021 October 21, 2021 - October 23, 2021



    Publication date :

    2022-02-19


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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