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Sequential Doppler-Shift-Based Optimal Localization and Synchronization With TOA

delete2022-09-01
delete7
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OA
AI
S
Sihao Zhao
N
Ningyan Guo
Xiaoping ZHANG 封面图
Xiaoping ZHANG (Xiao–Ping Zhang) *
X
Xiaowei Cui
M
Mingquan Lu
DOI:10.1109/JIOT.2022.3150564delete
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摘要

摘要

En 中文
Doppler shift is an important measurement for localization and synchronization (LAS), and is available in various practical systems. Existing studies on LAS techniques in a time-division broadcast LAS system (TDBS) only use sequential time-of-arrival (TOA) measurements from the broadcast signals. In this article, we develop a new optimal LAS method in the TDBS, namely, LAS-SDT, by taking advantage of the sequential Doppler shift and TOA measurements. It achieves higher accuracy compared with the conventional TOA-only method for user devices (UDs) with motion and clock drift. Another two variant methods, LAS-SDT-v for the case with UD velocity aiding and LAS-SDT-k for the case with UD clock drift aiding, are developed. We derive the Cramer-Rao lower bound (CRLB) for these different cases. We show analytically that the accuracies of the estimated UD position, clock offset, velocity, and clock drift are all significantly higher than those of the conventional LAS method using TOAs only. Numerical results corroborate the theoretical analysis and show the optimal estimation performance of the LAS-SDT.
Keyword:
Clocks
Doppler shift
Position measurement
Biomedical measurement
Velocity measurement
Noise measurement
Time measurement
Doppler shift
localization and synchronization (LAS)
sequential measurements
time-division broadcast
time of arrival (TOA)

期刊

IEEE Internet of Things Journal 封面图
IEEE Internet of Things Journal
IF:
8.9
论文数:
1.4W
被引数:
7.8W

机构

T
Toronto Metropolitan University
学者数:
204
论文数: 117
被引数: 0
T
Tsinghua University
学者数:
7.6K
论文数: 2.6K
被引数: 0
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