Comparison of Plane Wave and Spherical Vector Wave Channel Modeling for Characterizing Non-Specular Rough-Surface Wave Scattering

Research output: Contribution to journalArticleScientificpeer-review

Researchers

Research units

  • Southern University of Science and Technology
  • Tokyo Institute of Technology
  • Chalmers University of Technology

Abstract

This letter demonstrates advantages of modeling the nonspecular wave scattering from surfaces of a multiple-input multiple-output (MIMO) channel in terms of the spherical vector wave (SVW) mode expansion. We propose the SVW mode coupling matrix M as a more efficient alternative to the commonly used set of distinct plane waves. M incorporates the scattered field components through the limited number of modes due to the cut-off property. A planar surface with random roughness is used to simulate the nonspecular scattering contribution to the radio channel, which is computed using physical optics. The matrix M and the plane wave channel model parameters are estimated from simulated radio channels. The estimates are used to compare the contribution of the nonspecular scattering to the radio channel reproduced from these two approaches. The comparison is performed for a small array antenna arrangement. Compared are the error of the magnitudes of MIMO channel transfer matrix, the narrowband channel eigenvalues, the correlation matrix distance and the mutual information. It is found that M from the SVW channel modeling performs better in reproducing the radio channel of nonspecular scattering from the studied rough surface.

Details

Original languageEnglish
Pages (from-to)1847 - 1851
JournalIEEE Antennas and Wireless Propagation Letters
Volume17
Issue number10
Publication statusPublished - Oct 2018
MoE publication typeA1 Journal article-refereed

    Research areas

  • Antenna arrays, Channel estimation, distinct plane waves, nonspecular wave scattering, Optical surface waves, Radio propagation channel, Rough surfaces, Scattering, spherical vector wave mode coupling, Surface roughness, Surface waves

ID: 27961606