A Highly Efficient Channel Sounding Method Based on Cellular Communications for High-Speed Railway Scenarios

Liu, Liu; Tao, Cheng; Zhou, Tao; Zhao, Youping; Yin, Xuefeng; Chen, Houjin

Abstract

An efficient channel sounding method using cellular communication systems is proposed for high-speed railway (HSR) propagation environments. This channel measurement technique can be used conveniently to characterize different HSR scenarios, which can significantly improve the measurement efficiency. Based on downlink signals of wideband code division multiple access (WCDMA) and the long term evolution (LTE), principles and methodologies of HSR channel sounding are presented. Using the WCDMA signal, a measurement campaign is conducted in real-world HSR scenarios and statistical characterizations are provided using a radio network analyzer. Due to the limits of the radio network analyzer, afterwards, a software defined radio (SDR)-based channel data recorder is developed allowing users to collect the signals from different wireless cellular systems. Especially, the estimation accuracies are validated in lab by the faded signals emitted from a vector signal generator. The results show that the channel data recorder provides a particularly good match to the configured fading channels. Therefore, this measurement method can be employed to investigate the HSR channel, and to establish the channel models under the various HSR scenarios

Citation

Liu, L., Tao, C., Zhou, T., Zhao, Y., Yin, X., & Chen, H. (2012). A Highly Efficient Channel Sounding Method Based on Cellular Communications for High-Speed Railway Scenarios. EURASIP Journal on Wireless Communications and Networking, 2012, Article 307. https://doi.org/10.1186/1687-1499-2012-307

• Journal Article Type: Article
• Publication Date: Oct 1, 2012
• Deposit Date: Oct 23, 2014
• Publicly Available Date: Oct 29, 2015
• Journal: EURASIP journal on wireless communications and networking.
• Print ISSN: 1687-1472
• Electronic ISSN: 1687-1499
• Publisher: SpringerOpen
• Peer Reviewed: Peer Reviewed
• Volume: 2012
• Article Number: 307
• DOI: https://doi.org/10.1186/1687-1499-2012-307
• Public URL: https://durham-repository.worktribe.com/output/1451778