Adaptive Data Filtering of Inertial Sensors with Variable Bandwidth

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

Adaptive Data Filtering of Inertial Sensors with Variable Bandwidth

Original language description

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

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JU - Aeronautics, aerodynamics, aeroplanes

OECD FORD branch

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Project

<a href="/en/project/TA02011092" target="_blank" >TA02011092: Research and development of technologies for radiolocation mapping and navigation systems</a><br>

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2015

Confidentiality

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

Name of the periodical

Sensors - Open Access Journal

ISSN

1424-8220

e-ISSN

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Volume of the periodical

15

Issue of the periodical within the volume

2

Country of publishing house

CH - SWITZERLAND

Number of pages

17

Pages from-to

3282-3298

UT code for WoS article

000352052100001

EID of the result in the Scopus database

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