ZA-LMS-based sparse channel estimator in multi-carrier VLC system
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
ZA-LMS-based sparse channel estimator in multi-carrier VLC system
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Photonic Network Communications
ISSN
1387-974X
e-ISSN
1572-8188
Volume of the periodical
47
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
9
Pages from-to
30-38
UT code for WoS article
001141165000001
EID of the result in the Scopus database
2-s2.0-85182204092