Two of the major challenges with beyond visual line of sight (BVLOS) operations for unmanned aerial vehicles (UAVs) today are navigation and communication. This paper presents a solution that takes on both problems simultaneously, using a phased array radio system (PARS) both for communication and to aid a micro-electro-mechanical inertial navigation system (INS), estimating position, velocity and attitude. The solution is independent of global navigation satellite system (GNSS) for positioning and highly resistant to malicious sources, such as spoofing and jamming. The state estimator presented in this paper fuses range and bearing measurements from the PARS with the measurements from an on-board inertial measurement unit, a magnetometer and a barometer. By aiding the INS with PARS position measurements, magnetometer readings and barometric measurements, drift-free PVA estimates are obtained. The PARS measurements can be used for navigation alongside today's GNSS solutions, or as a redundant backup system running in parallel. To validate the observer, an experiment was carried out with a fixed wing UAV on an approximately 35 minute flight with a maximal distance of 5.35 km from the base station. During this flight a root-mean-square accuracy of 26.3 m compared to a real-time kinematic GNSS solution was achieved.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Phased array radio system aided inertial navigation for unmanned aerial vehicles


    Contributors:


    Publication date :

    2018-03-01


    Size :

    3973932 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Direct feature correspondence in vision-aided inertial navigation for unmanned aerial vehicles

    Valles, Federico Paredes / Magree, Daniel P. / Johnson, Eric N. | IEEE | 2017


    A model aided inertial navigation system for automatic landing of unmanned aerial vehicles

    Mohammadkarimi, Hamed / Nobahari, Hadi | British Library Online Contents | 2018


    Aided inertial navigation of small unmanned aerial vehicles using an ultra-wideband real time localization system

    Cisek, Krzysztof / Gryte, Kristoffer / Bryne, Torleiv H. et al. | IEEE | 2018


    Phased array radar systems for small unmanned aerial vehicles

    WARNICK KARL FOSTER / SPENCER JONATHAN CULLINAN | European Patent Office | 2019

    Free access

    Cooperative Visual–Range–Inertial Navigation for Multiple Unmanned Aerial Vehicles

    Li, Chunyu / Wang, Jianan / Liu, Junhui et al. | IEEE | 2023