eprintid: 10199593
rev_number: 7
eprint_status: archive
userid: 699
dir: disk0/10/19/95/93
datestamp: 2024-11-05 10:54:04
lastmod: 2024-11-05 10:54:04
status_changed: 2024-11-05 10:54:04
type: proceedings_section
metadata_visibility: show
sword_depositor: 699
creators_name: Wang, Xiao-Yang
creators_name: Yang, Shaoshi
creators_name: Chen, Mingyang
creators_name: Masouros, Christos
title: Fingerprint-Spectrum-Based Synchronization in Asynchronous Perceptive Mobile Networks
ispublished: pub
divisions: UCL
divisions: B04
divisions: F46
keywords: Wireless communication, Time-frequency analysis, Radio transceivers, Simulation, Signal processing algorithms,
Estimation, Line-of-sight propagation, Fingerprint recognition, Signal processing, Synchronization
note: This version is the author-accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: Asynchronous radio transceivers introduce significant range and velocity ambiguity, posing challenges for accurate positioning and velocity estimation in passive sensing perceptive mobile networks (PMNs). To address this issue, we propose the Cross-Multipath Cross-Correlation (CMCC) algorithm, a joint carrier frequency offset (CFO) and time offset (TO) estimation algorithm that supports passive sensing in both non-line-of-sight (NLOS) and line-of-sight (LOS) environments. The CMCC algorithm treats the delay-Doppler spectrum of signals reflected from static objects as an environment-specific "fingerprint spectrum" that exhibits a cyclic shift property as the CFO and/or TO change. By analyzing the number of cyclic shifts, CMCC efficiently estimates both CFO and TO. Additionally, we provide a simplified version of CMCC to reduce computational complexity. Simulation results demonstrate the performance advantages of our algorithms across various configurations.
date: 2024-10-07
date_type: published
publisher: IEEE
official_url: https://doi.org/10.1109/SPAWC60668.2024.10694270
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2332350
doi: 10.1109/SPAWC60668.2024.10694270
lyricists_name: Masouros, Christos
lyricists_id: CMASO14
actors_name: Masouros, Christos
actors_id: CMASO14
actors_role: owner
full_text_status: public
pres_type: paper
series: International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
publication: IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
volume: 2024
place_of_pub: Lucca, Italy
pagerange: 316-320
event_title: 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
event_dates: 10 Sep 2024 - 13 Sep 2024
issn: 1948-3252
book_title: Proceedings of IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
citation:        Wang, Xiao-Yang;    Yang, Shaoshi;    Chen, Mingyang;    Masouros, Christos;      (2024)    Fingerprint-Spectrum-Based Synchronization in Asynchronous Perceptive Mobile Networks.                     In:  Proceedings of IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC.  (pp. pp. 316-320).  IEEE: Lucca, Italy.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10199593/1/1571018150%20final.pdf