University of Oulu

Y. Ji, W. Fan, P. Kyösti, J. Li and G. F. Pedersen, "Antenna Correlation Under Geometry-Based Stochastic Channel Models," in IEEE Antennas and Wireless Propagation Letters, vol. 18, no. 12, pp. 2567-2571, Dec. 2019. doi: 10.1109/LAWP.2019.2943413

Antenna correlation under geometry-based stochastic channel models

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Author: Ji, Yilin1; Fan, Wei1; Kyösti, Pekka2,3;
Organizations: 1Antenna Propagation and Millimeter-wave Systems (APMS) section at Department of Electronic Systems, Aalborg University, Denmark
2University of Oulu, Finland
3Keysight Technologies Finland oy, Finland
4Huawei Technologies Co., Ltd.
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.2 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019121848753
Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2019-12-18
Description:

Abstract

Antenna correlation is an important measure for designing multiple-input multiple-output (MIMO) antenna systems. A lower antenna correlation indicates a better MIMO performance that can be achieved with the underlying antenna systems. In the antenna design community, it is very common to evaluate the antenna correlation with isotropic or non-isotropic (e.g. Gaussian-distributed) angular power spectrum (APS) as baselines. On the other hand, antenna correlation can also be evaluated via channel transfer function (CTF) under the a given propagation channel, e.g. drawn from the bi-directional geometrybased stochastic channel model. In this paper, the analytic forms for the antenna correlation based on the APS and the CTF are derived, respectively, with their similarities and differences explained. Moreover, a numerical example is also given with a standard channel model to support our findings.

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Series: IEEE antennas and wireless propagation letters
ISSN: 1536-1225
ISSN-E: 1548-5757
ISSN-L: 1536-1225
Volume: 18
Issue: 12
Pages: 2567 - 2571
DOI: 10.1109/LAWP.2019.2943413
OADOI: https://oadoi.org/10.1109/LAWP.2019.2943413
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
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