University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Empirical-Stochastic LMS-MIMO Channel Model Implementation and Validation

King, PR, Brown, TWC, Kyrgiazos, A and Evans, BG (2011) Empirical-Stochastic LMS-MIMO Channel Model Implementation and Validation IEEE Transactions on Antennas and Propagation, 60 (2). 606 - 614. ISSN 0018-926X

[img]
Preview
PDF
sat_MIMO_AP_repositry.pdf - Accepted Version
Available under License : See the attached licence file.

Download (415kB)
[img] Plain Text (licence)
licence.txt

Download (1kB)

Abstract

Land Mobile Satellite (LMS) networks, forming a key component of future mobile Internet and broadcasting, can benefit from Multiple-Input Multiple-Output (MIMO) techniques to improve spectral efficiency and outage. LMS-MIMO networks can be obtained using multiple satellites with single polarization antennas with spatial multiplex channel coding, or by a single satellite with dual polarization antennas providing polarization multiplex channel coding. In this paper, a guide is presented showing the steps required to implement a simple empirical-stochastic dual circular polarized LMS-MIMO narrowband channel model with validation both with and without a line of sight. The model is based on an S-band tree-lined road measurement campaign using dual circular polarizations at low elevations. Application of the model is aimed at LMS-MIMO physical layer researchers and system designers, who need an easy to implement and reliable model, representative of typical LMS-MIMO channel conditions.

Item Type: Article
Additional Information:

Copyright 2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Divisions: Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Depositing User: Symplectic Elements
Date Deposited: 08 Dec 2011 13:20
Last Modified: 23 Sep 2013 18:47
URI: http://epubs.surrey.ac.uk/id/eprint/7393

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800