High-Precision Time Difference of Arrival Estimation Method Based on Phase Measurement

In unmanned aerial vehicle (UAV)-based time difference of arrival (TDOA) positioning technique, baselines are limited due to communication constraints. In this case, the accuracy is highly sensitive to the TDOA measurements’ error. This article primarily addresses the problem of short-baseline high-...

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Main Authors: Jihao Xin, Xuyang Ge, Yuan Zhang, Xingdong Liang, Hang Li, Linghao Wu, Jiashuo Wei, Xiangxi Bu
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/16/7/1197
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author Jihao Xin
Xuyang Ge
Yuan Zhang
Xingdong Liang
Hang Li
Linghao Wu
Jiashuo Wei
Xiangxi Bu
author_facet Jihao Xin
Xuyang Ge
Yuan Zhang
Xingdong Liang
Hang Li
Linghao Wu
Jiashuo Wei
Xiangxi Bu
author_sort Jihao Xin
collection DOAJ
description In unmanned aerial vehicle (UAV)-based time difference of arrival (TDOA) positioning technique, baselines are limited due to communication constraints. In this case, the accuracy is highly sensitive to the TDOA measurements’ error. This article primarily addresses the problem of short-baseline high-precision time synchronization and TDOA measurement. We conducted a detailed analysis of error models in TDOA systems, considering both the time and phase measurement. We utilize the frequency division wireless phase synchronization technique in TDOA systems. Building upon this synchronization scheme, we propose a novel time delay estimation method that relies on phase measurements based on the integer least squares method. The performance of this method is demonstrated through Monte Carlo simulations and outdoor experiments. The standard deviations of synchronization and TDOA measurements in experiments are 1.12 ps and 1.66 ps, respectively. Furthermore, the circular error probable (CEP) accuracy is improved from 0.33%R to 0.02%R, offering support for the practical application of distributed short-baseline high-precision passive location techniques.
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spelling doaj.art-d4067a1a26a14b67b58cbd02dda2c7ae2024-04-12T13:25:35ZengMDPI AGRemote Sensing2072-42922024-03-01167119710.3390/rs16071197High-Precision Time Difference of Arrival Estimation Method Based on Phase MeasurementJihao Xin0Xuyang Ge1Yuan Zhang2Xingdong Liang3Hang Li4Linghao Wu5Jiashuo Wei6Xiangxi Bu7National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, ChinaNational Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, ChinaNational Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, ChinaNational Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, ChinaNational Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, ChinaSchool of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaNational Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, ChinaNational Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, ChinaIn unmanned aerial vehicle (UAV)-based time difference of arrival (TDOA) positioning technique, baselines are limited due to communication constraints. In this case, the accuracy is highly sensitive to the TDOA measurements’ error. This article primarily addresses the problem of short-baseline high-precision time synchronization and TDOA measurement. We conducted a detailed analysis of error models in TDOA systems, considering both the time and phase measurement. We utilize the frequency division wireless phase synchronization technique in TDOA systems. Building upon this synchronization scheme, we propose a novel time delay estimation method that relies on phase measurements based on the integer least squares method. The performance of this method is demonstrated through Monte Carlo simulations and outdoor experiments. The standard deviations of synchronization and TDOA measurements in experiments are 1.12 ps and 1.66 ps, respectively. Furthermore, the circular error probable (CEP) accuracy is improved from 0.33%R to 0.02%R, offering support for the practical application of distributed short-baseline high-precision passive location techniques.https://www.mdpi.com/2072-4292/16/7/1197time difference of arrival (TDOA)wireless phase synchronizationphase measurementunmanned aerial vehicle (UAV)
spellingShingle Jihao Xin
Xuyang Ge
Yuan Zhang
Xingdong Liang
Hang Li
Linghao Wu
Jiashuo Wei
Xiangxi Bu
High-Precision Time Difference of Arrival Estimation Method Based on Phase Measurement
Remote Sensing
time difference of arrival (TDOA)
wireless phase synchronization
phase measurement
unmanned aerial vehicle (UAV)
title High-Precision Time Difference of Arrival Estimation Method Based on Phase Measurement
title_full High-Precision Time Difference of Arrival Estimation Method Based on Phase Measurement
title_fullStr High-Precision Time Difference of Arrival Estimation Method Based on Phase Measurement
title_full_unstemmed High-Precision Time Difference of Arrival Estimation Method Based on Phase Measurement
title_short High-Precision Time Difference of Arrival Estimation Method Based on Phase Measurement
title_sort high precision time difference of arrival estimation method based on phase measurement
topic time difference of arrival (TDOA)
wireless phase synchronization
phase measurement
unmanned aerial vehicle (UAV)
url https://www.mdpi.com/2072-4292/16/7/1197
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