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Brigham Young University - Provo

Wideband Channel Characterization for MIMO Scenario

Abstract

dc:description.abstract

Because broadband wireless systems benefit from accurate channel characterization, there is growing interest in broadband wireless multiple-input multiple-output (MIMO) channel models. This thesis verifies the suitability of the Saleh Valenzuela with Angle (SVA) model for wideband MIMO communication models. While recent wideband MIMO measurements have been obtained by switching a single transmit/receive pair over all possible antenna pair combinations, a simultaneous probing system is superior because of the time required for the antenna-switching channel measurements. This work provides two different wideband channel estimation algorithms based on simultaneous transmission from and reception on all antennas. Simulated data from an electromagnetic ray tracing tool is used (as a substitute for measured data) to obtain propagation data. One of the wideband estimation algorithms is then used to extract MIMO channel data from propagation data. From these estimated channels, parameters such as capacity, coherence bandwidth, RMS delay spread and maximum delay spread are compared (statistically) to those obtained from the SVA model. The comparisons of the different parameters show the ability of the SVA model to simulate wideband MIMO communication channels.

Degree

thesis:*
Name thesis:degree_name
MS
Grantor dc:publisher
Brigham Young University - Provo

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Holzer, Justin T.

Subjects

dc:subject × 7

Rights

Language dc:language
English

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholarsarchive.byu.edu/etd/147
OAI identifier oai:identifier
oai:scholarsarchive.byu.edu:etd-1146

Chain of custody

source
Harvested from
Brigham Young University
Base URL
scholarsarchive.byu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Holzer, Justin T.. Wideband Channel Characterization for MIMO Scenario. Brigham Young University - Provo, https://scholarsarchive.byu.edu/etd/147