Real-Time Localization of Transmission Sources by a Formation of Helicopters Equipped with a Rotating Directional Antenna
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00326773" target="_blank" >RIV/68407700:21230/19:00326773 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-14984-0_25" target="_blank" >http://dx.doi.org/10.1007/978-3-030-14984-0_25</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-14984-0_25" target="_blank" >10.1007/978-3-030-14984-0_25</a>
Alternative languages
Result language
angličtina
Original language name
Real-Time Localization of Transmission Sources by a Formation of Helicopters Equipped with a Rotating Directional Antenna
Original language description
This paper proposes a novel technique for radio frequency transmission sources (RFTS) localization in outdoor environments using a formation of autonomous Micro Aerial Vehicles (MAVs) equipped with a rotating directional antenna. The technique uses a fusion of received signal strength indication (RSSI) and angle of arrival (AoA) data gained from dependencies of RSSI on angle measured by each direc- tional antenna. An Unscented Kalman Filter (UKF) based approach is used for sensor data fusion and for estimation of RFTS positions during each localization step. The proposed method has been verified in simula- tions using noisy and inaccurate measurements and in several successful real-world outdoor deployments.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
<a href="/en/project/GJ17-16900Y" target="_blank" >GJ17-16900Y: Stabilization and control of teams of relatively-localized micro aerial vehicles in high obstacle density areas</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Modelling and Simulation for Autonomous Systems (MESAS 2018)
ISBN
978-3-030-14983-3
ISSN
0302-9743
e-ISSN
—
Number of pages
16
Pages from-to
335-350
Publisher name
Springer International Publishing AG
Place of publication
Cham
Event location
Praha
Event date
Oct 17, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—