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Doppler-Enabled Single-Antenna Localization and Mapping Without Synchronization | IEEE Conference Publication | IEEE Xplore

Doppler-Enabled Single-Antenna Localization and Mapping Without Synchronization


Abstract:

Radio localization is a key enabler for joint communication and sensing in the fifth/sixth generation (5G/6G) communication systems. With the help of multipath components...Show More

Abstract:

Radio localization is a key enabler for joint communication and sensing in the fifth/sixth generation (5G/6G) communication systems. With the help of multipath components (MPCs), localization and mapping tasks can be done with a single base station (BS) and single unsynchronized user equipment (UE) if both of them are equipped with an antenna array. However, the antenna array at the UE side increases the hardware and computational cost, preventing localization functionality. In this work, we show that with Doppler estimation and MPCs, localization and mapping tasks can be performed even with a single-antenna mobile UE. Furthermore, we show that the localization and mapping performance will improve and then saturate at a certain level with an increased UE speed. Both theoretical Cramér-Rao bound analysis and simulation results show the potential of localization under mobility and the effectiveness of the proposed localization algorithm.
Date of Conference: 04-08 December 2022
Date Added to IEEE Xplore: 11 January 2023
ISBN Information:

ISSN Information:

Conference Location: Rio de Janeiro, Brazil

Funding Agency:


I. Introduction

Location and map information can assist communication in the the millimeter wave/Terahertz (mmWave/THz) band 5G/6G systems, as well as a variety of location-based applications such as autonomous driving [1], tactile robots [2], etc. Due to the geometrical channel property of high frequency radio signals [3], the localization and mapping tasks can be done by exploiting the channel parameters (e.g., angles and delay) of each path from the estimated channel matrix [4]. With the help of one or more reference points (e.g., base station (BS) or reconfigurable intelligent surface (RIS)), the position and orientation of the user equipment (UE), as well as the position of the incidence point (IP), can be estimated [5].

References

References is not available for this document.