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.
| Original language | English |
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| Title of host publication | 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2024 |
| Publisher | IEEE Institute of Electrical and Electronics Engineers |
| Pages | 606-610 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798350393187 |
| DOIs | |
| Publication status | Published - 7 Oct 2024 |
| Event | 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2024 - Lucca, Italy Duration: 10 Sept 2024 → 13 Sept 2024 https://spawc2024.org/ |
Publication series
| Name | IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC |
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| ISSN (Print) | 2325-3789 |
Conference
| Conference | 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2024 |
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| Country/Territory | Italy |
| City | Lucca |
| Period | 10/09/24 → 13/09/24 |
| Internet address |
Keywords
- Bayesian state-filtering
- D-MIMO
- direct positioning
- integrated communication and sensing
- particle filter
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science Applications
- Information Systems