Joint LOS Identification and Data Association for 6G-Enabled Networked Device-Free Sensing
Qin Shi, Liang Liu

TL;DR
This paper introduces a two-phase protocol for joint line-of-sight identification and data association in 6G networked device-free sensing, enabling accurate target localization in multipath environments.
Contribution
It proposes novel methods for range estimation and data association that work even with asynchronous BSs, advancing networked sensing capabilities.
Findings
High accuracy in range estimation in multipath environments
Effective LOS path identification and target association
Robust performance demonstrated through numerical simulations
Abstract
This paper considers networked device-free sensing in an orthogonal frequency division multiplexing (OFDM) cellular system with multipath environment, where the passive targets reflect the downlink signals to the base stations (BSs) via non-line-of-sight (NLOS) paths and/or line-of-sight (LOS) paths, and the BSs share the sensing information extracted from their received echoes to jointly localize the targets. A two-phase localization protocol is considered. In Phase I, we design an efficient method that is able to accurately estimate the range of any path from a transmitting BS to a receiving BS via a target, even if the transmitting and receiving BSs are separated and not perfectly synchronized. In Phase II, we propose an effective method that is able to jointly identify the ranges of the LOS paths between the targets and the BSs as well as associate the ranges of LOS paths with the…
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Taxonomy
TopicsWireless Body Area Networks · IoT and Edge/Fog Computing
MethodsBalanced Selection
