Adaptive Optimization of Control Parameters for Feed-Forward Software Defined Equalization

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Adaptive Optimization of Control Parameters for Feed-Forward Software Defined Equalization

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Adaptive Optimization of Control Parameters for Feed-Forward Software Defined Equalization

Popis výsledku anglicky

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

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Wireless Personal Communications

ISSN

0929-6212

e-ISSN

—

Svazek periodika

95

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

1-11

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85011580149