On Space–Frequency Correlation of UWB MIMO Channels
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Hong-2010-On Space-Frequency C.pdf
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Author(s)
Hong, Xuemin
Wang, Cheng-Xiang
Thompson, John
Allen, Ben
Ge, Xiaohu
Malik, Wasim Qamar
Date Issued
November 2010
Journal
IEEE Transactions on Vehicular Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Hong, Xuemin et al. “On Space–Frequency Correlation of UWB MIMO Channels.” IEEE Transactions on Vehicular Technology 59.9 (2010): 4201-4213. Web. 3 Feb. 2012. © 2011 Institute of Electrical and Electronics Engineers
Version
Final published version
Abstract
Conventional multiple-input-multiple-output (MIMO) channel correlation models focus on describing the complex amplitude correlation of resolvable multipath components (MPCs). It has recently been shown that the time-of-arrival (ToA) correlation of resolvable MPCs, which has largely been ignored in the literature so far, is important for characterizing the space-frequency (SF) correlation of MIMO channels in the ultrawideband (UWB) regime. The proposal of ToA correlation brings forth the following open questions: What is the fundamental difference between amplitude and ToA correlations? Are they mutually replaceable? What impact do they have on system performance? Is this impact related to channel bandwidth? This paper systematically answers the above questions. We demonstrate that, compared with a conventional model that only considers amplitude correlation, a UWB MIMO channel model taking into account both amplitude and ToA correlations leads to different theoretical maximum diversity order, numerical structure of the SF channel covariance matrix, spatial correlation function, and diversity performance. We conclude that ToA correlation is a necessary complement to amplitude correlation when the channel bandwidth exceeds 500 MHz, i.e., UWB channels. This new insight serves as the motivation for more realistic modeling of UWB MIMO channels and the inspiration for designing advanced UWB MIMO systems to fully exploit the SF channel correlation properties.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/tvt.2010.2075947
