Adaptive Optimization of Control Parameters for Feed-Forward Software Defined Equalization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10238294" target="_blank" >RIV/61989100:27240/17:10238294 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s11277-017-4036-3" target="_blank" >https://link.springer.com/article/10.1007/s11277-017-4036-3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11277-017-4036-3" target="_blank" >10.1007/s11277-017-4036-3</a>
Alternative languages
Result language
angličtina
Original language name
Adaptive Optimization of Control Parameters for Feed-Forward Software Defined Equalization
Original language description
In this paper we briefly describe the design, implementation, and evaluation of a novel adaptive optimization approach for the feed-forward software defined equalization (FFSDE) method using the least mean squared (LMS) algorithm. In our design, we adaptively change the filter length (N) and step size ((Formula presented.)) to achieve the optimal bit error rate value. We used a vector signal generator RF PXI-5670 and a vector signal analyzer (VSA) RF PXI-5660 to test the validity of our approach. We implemented our method for the M-ary quadrature amplitude modulation (M-QAM) scheme in the VSA (which served as a receiver). The experimental results showed that we achieved high convergence speed and accuracy for rapidly changing transmitter channel characteristics. The automatic optimal setting feature of the LMS Algorithm parameters N and (Formula presented.), enabled us to solve the hardware configuration problem for the FFSDE method. Determination of the LMS Algorithm training sequence size for the particular M-QAM allowed us to eliminate redundant data of the training sequence and increase the throughput. © 2017 Springer Science+Business Media New York
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Wireless Personal Communications
ISSN
0929-6212
e-ISSN
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Volume of the periodical
95
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
1-11
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85011580149