ZA-LMS-based sparse channel estimator in multi-carrier VLC system

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F24%3A50021201" target="_blank" >RIV/62690094:18450/24:50021201 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007/s11107-023-01009-w" target="_blank" >https://link.springer.com/article/10.1007/s11107-023-01009-w</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s11107-023-01009-w" target="_blank" >10.1007/s11107-023-01009-w</a>

Jazyk výsledku

angličtina

Název v původním jazyce

ZA-LMS-based sparse channel estimator in multi-carrier VLC system

Popis výsledku v původním jazyce

Visible light communication (VLC) is an affordable green technology that utilizes visible light as a medium for high-speed wireless data transmission. However, performance of a realistic VLC system is limited by ambient light, user mobility and multipath between the receiver and the transmitter. Inter-symbol-interference and lowering of the instantaneous signal-to-noise ratio caused by a frequency domain spreading due to multipath and the user mobility, respectively, can be largely mitigated using recently proposed orthogonal time frequency space (OTFS) modulation. Since the delay-Doppler representation of a time-varying channel by OTFS modulation is sparse in nature, this study presents a zero-attracting least mean square (ZA-LMS) algorithm for channel estimation to exploit this inherent sparsity. In this paper, we present a formal analysis of the convergence and bit-error rate of the proposed ZA-LMS algorithm, along with supporting simulations. We compare performance of the proposed algorithm with the traditional least mean square (LMS) and orthogonal matching pursuit (OMP) algorithm. From the simulations conducted over realistic mobile random-way point VLC channel, superior mean square deviation and bit error performance of ZA-LMS-based estimator are observed over classical LMS and OMP estimator. © 2024, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Název v anglickém jazyce

ZA-LMS-based sparse channel estimator in multi-carrier VLC system

Popis výsledku anglicky

Visible light communication (VLC) is an affordable green technology that utilizes visible light as a medium for high-speed wireless data transmission. However, performance of a realistic VLC system is limited by ambient light, user mobility and multipath between the receiver and the transmitter. Inter-symbol-interference and lowering of the instantaneous signal-to-noise ratio caused by a frequency domain spreading due to multipath and the user mobility, respectively, can be largely mitigated using recently proposed orthogonal time frequency space (OTFS) modulation. Since the delay-Doppler representation of a time-varying channel by OTFS modulation is sparse in nature, this study presents a zero-attracting least mean square (ZA-LMS) algorithm for channel estimation to exploit this inherent sparsity. In this paper, we present a formal analysis of the convergence and bit-error rate of the proposed ZA-LMS algorithm, along with supporting simulations. We compare performance of the proposed algorithm with the traditional least mean square (LMS) and orthogonal matching pursuit (OMP) algorithm. From the simulations conducted over realistic mobile random-way point VLC channel, superior mean square deviation and bit error performance of ZA-LMS-based estimator are observed over classical LMS and OMP estimator. © 2024, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20203 - Telecommunications

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Photonic Network Communications

ISSN

1387-974X

e-ISSN

1572-8188

Svazek periodika

47

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

9

Strana od-do

30-38

Kód UT WoS článku

001141165000001

EID výsledku v databázi Scopus

2-s2.0-85182204092