Accurate Direct Positioning in Distributed MIMO Using Delay-Doppler Channel Measurements
Deutschmann, Benjamin; Nelson, Christian; Henriksson, Mikael; Marti, Gian; Kosasih, Alva; Tervo, Nuutti; Leitinger, Erik; Tufvesson, Fredrik (2024-10-07)
IEEE
07.10.2024
B. Deutschmann et al., "Accurate Direct Positioning in Distributed MIMO Using Delay-Doppler Channel Measurements," 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Lucca, Italy, 2024, pp. 606-610, doi: 10.1109/SPAWC60668.2024.10694279
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© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202410156313
https://urn.fi/URN:NBN:fi:oulu-202410156313
Tiivistelmä
Abstract
Distributed multiple-input multiple-output (DMIMO) is a promising technology for simultaneous communication and positioning. However, phase synchronization between multiple access points in D-MIMO is challenging and methods that function without the need for phase synchronization are highly desired. Therefore, we present a method for D-MIMO that performs direct positioning of a moving device based on the delay-Doppler characteristics of the channel state information (CSI). Our method relies on particle-filter-based Bayesian inference with a state-space model. We use recent measurements from a sub-6 GHz D-MIMO OFDM system in an industrial environment to demonstrate near-centimeter accuracy under partial line-of-sight (LoS) conditions and decimeter accuracy under fully obstructed LoS.
Distributed multiple-input multiple-output (DMIMO) is a promising technology for simultaneous communication and positioning. However, phase synchronization between multiple access points in D-MIMO is challenging and methods that function without the need for phase synchronization are highly desired. Therefore, we present a method for D-MIMO that performs direct positioning of a moving device based on the delay-Doppler characteristics of the channel state information (CSI). Our method relies on particle-filter-based Bayesian inference with a state-space model. We use recent measurements from a sub-6 GHz D-MIMO OFDM system in an industrial environment to demonstrate near-centimeter accuracy under partial line-of-sight (LoS) conditions and decimeter accuracy under fully obstructed LoS.
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