Adaptive Data Filtering of Inertial Sensors with Variable Bandwidth

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00225171" target="_blank" >RIV/68407700:21230/15:00225171 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.3390/s150203282" target="_blank" >http://dx.doi.org/10.3390/s150203282</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/s150203282" target="_blank" >10.3390/s150203282</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Adaptive Data Filtering of Inertial Sensors with Variable Bandwidth

Popis výsledku v původním jazyce

MEMS (micro-electro-mechanical system)-based inertial sensors, i.e., accelerometers and angular rate sensors, are commonly used as a cost-effective solution for the purposes of navigation in a broad spectrum of terrestrial and aerospace applications. These tri-axial inertial sensors form an inertial measurement unit (IMU), which is a core unit of navigation systems. Even if MEMS sensors have an advantage in their size, cost, weight and power consumption, they suffer from bias instability, noisy output and insufficient resolution. Furthermore, the sensor?s behavior can be significantly affected by strong vibration when it operates in harsh environments. All of these constitute conditions require treatment through data processing. As long as the navigation solution is primarily based on using only inertial data, this paper proposes a novel concept in adaptive data pre-processing by using a variable bandwidth filtering. This approach utilizes sinusoidal estimation to continuously adapt th

Název v anglickém jazyce

Adaptive Data Filtering of Inertial Sensors with Variable Bandwidth

Popis výsledku anglicky

MEMS (micro-electro-mechanical system)-based inertial sensors, i.e., accelerometers and angular rate sensors, are commonly used as a cost-effective solution for the purposes of navigation in a broad spectrum of terrestrial and aerospace applications. These tri-axial inertial sensors form an inertial measurement unit (IMU), which is a core unit of navigation systems. Even if MEMS sensors have an advantage in their size, cost, weight and power consumption, they suffer from bias instability, noisy output and insufficient resolution. Furthermore, the sensor?s behavior can be significantly affected by strong vibration when it operates in harsh environments. All of these constitute conditions require treatment through data processing. As long as the navigation solution is primarily based on using only inertial data, this paper proposes a novel concept in adaptive data pre-processing by using a variable bandwidth filtering. This approach utilizes sinusoidal estimation to continuously adapt th

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JU - Aeronautika, aerodynamika, letadla

OECD FORD obor

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Projekt

<a href="/cs/project/TA02011092" target="_blank" >TA02011092: Výzkum a vývoj technologií pro radiolokační mapovací a navigační systémy</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

Sensors - Open Access Journal

ISSN

1424-8220

e-ISSN

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Svazek periodika

15

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

17

Strana od-do

3282-3298

Kód UT WoS článku

000352052100001

EID výsledku v databázi Scopus

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