Cellular radio based localization can be an important complement or alternative to other localization technologies, as base stations continuously transmit signals of opportunity with beneficial positioning properties. In this paper, we use the long term evolution (LTE) cell-specific reference signal for this purpose. The multipath component delays are estimated by the ESPRIT algorithm, and the estimated multipath component delays of different snapshots are associated by global nearest neighbor with a Kalman filter. Rao-Blackwellized particle filter based simultaneous localization and mapping (SLAM) is then applied to estimate the position of user equipment and that of the base station and virtual transmitters. In a measurement campaign, data from one base station was logged, and the analysis based on the data shows that, at the end of the measurement, the SLAM performance is 11 meters better than that with only inertial measurement unit (IMU).


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    SLAM using LTE Multipath Component Delays


    Contributors:


    Publication date :

    2020-05-01


    Size :

    219484 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    SLAM Using Cellular Multipath Component Delays and Angular Information with JPDA Approximation

    Chen, Junshi / Whiton, Russ / Tufvesson, Fredrik | BASE | 2023

    Free access

    Extended FastSLAM Using Cellular Multipath Component Delays and Angular Information

    Chen, Junshi / Whiton, Russ / Tufvesson, Fredrik | IEEE | 2023


    Extended FastSLAM Using Cellular Multipath Component Delays and Angular Information

    Chen, Junshi / Whiton, Russ / Tufvesson, Fredrik | BASE | 2023

    Free access