Measurements and Analysis of Angular Characteristics and Spatial Correlation for High-Speed Railway Channels

Zhou, Tao; Tao, Cheng; Salous, Sana; Liu, Liu

Abstract

Spatial characteristics of the propagation channel have a vital impact on the application of multi-antenna techniques. This paper analyzes angular characteristics and the spatial correlation for high-speed railway (HSR) channels, based on a novel moving virtual antenna array (MVAA) measurement scheme. The principle of the MVAA scheme is deeply investigated and is further verified by a theoretical geometry-based stochastic model. Using the MVAA scheme, virtual single-input multiple-output (SIMO) channel impulse response data are derived from single-antenna measurements in typical HSR scenarios, involving viaduct, cutting, and station. Based on the SIMO channel data, angle of arrival is extracted according to the unitary estimation of signal parameters by the rotational invariance techniques algorithm, and is compared with the theoretical result. Moreover, power angular spectrum and root mean square (rms) angular spread (AS) are provided, and the rms AS results are statistically modeled and comprehensively compared. In addition, spatial correlation is calculated and analyzed, and a rms AS-dependent spatial correlation model is newly proposed to describe the relationship between the angular dispersion and the spatial correlation. The presented results could be used in multi-antenna channel modeling and will facilitate the assessment of multi-antenna technologies for future HSR mobile communication systems.

Citation

Zhou, T., Tao, C., Salous, S., & Liu, L. (2018). Measurements and Analysis of Angular Characteristics and Spatial Correlation for High-Speed Railway Channels. IEEE Transactions on Intelligent Transportation Systems, 19(2), 357-367. https://doi.org/10.1109/tits.2017.2681112

• Journal Article Type: Article
• Acceptance Date: Mar 2, 2017
• Online Publication Date: Mar 29, 2017
• Publication Date: Feb 1, 2018
• Deposit Date: Feb 19, 2018
• Publicly Available Date: Apr 27, 2018
• Journal: IEEE Transactions on Intelligent Transportation Systems
• Print ISSN: 1524-9050
• Electronic ISSN: 1558-0016
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 19
• Issue: 2
• Pages: 357-367
• DOI: https://doi.org/10.1109/tits.2017.2681112
• Public URL: https://durham-repository.worktribe.com/output/1339467