Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Decoupling of broadband optical MIMO systems using the multiple shift SBR2 algorithm

Wang, Zeliang, Sandmann, André, McWhirter, John ORCID: https://orcid.org/0000-0003-1810-3318 and Ahrens, Andreas 2017. Decoupling of broadband optical MIMO systems using the multiple shift SBR2 algorithm. International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems 6 (1) , pp. 30-37. 10.11601/ijates.v6i1.207

[thumbnail of 207-852-2-PB.pdf]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview

Abstract

Polynomial singular value decomposition (PSVD) plays a very important role in broadband multiple-input multiple-output (MIMO) systems. One of its applications lies in the decoupling of MIMO convolutive mixing channel matrix in order to recover the transmitted signals corrupted by the channel interference (CI) at the receiver. In this paper, a novel algorithm, known as multiple shift second order sequential best rotation (MS-SBR2), is proposed to compute the approximate PSVD of the broadband MIMO channel matrix. Experimental examples, including a measured (2 × 2) optical MIMO channel impulse response using the multi-mode fiber (MMF) testbed, are presented to examine the proposed algorithm. Bit error rate (BER) performances are evaluated among different transmission schemes. In addition, power allocation (PA) schemes are investigated to further optimize the BER performance.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Publisher: International Science and Engineering Society
ISSN: 1805-5443
Date of First Compliant Deposit: 24 April 2017
Date of Acceptance: 30 March 2017
Last Modified: 07 May 2023 11:27
URI: https://orca.cardiff.ac.uk/id/eprint/99706

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics