Asymptotic Gradient Clock Synchronization in Wireless Sensor Networks for UWB Localization

Senevirathna, Nushen M.; Silva, Oscar De; Mann, George K. I.; Gosine, Raymond G.

doi:10.1109/jsen.2022.3213696

Cited by 15 publications

(4 citation statements)

References 30 publications

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“…The authors in [24] designed transmitter and receiver boards for localization using clock offset estimation. A asymptotic gradient clock synchronization algorithm is proposed in [25], which relies on periodic transmissions from each node to correct clock bias and gradually approaches global clock consistency. In spite of the fact that these synchronized localization models have very good accuracy, their synchronization method is quite complex and increases network load.…”

Section: A Related Work and Motivationmentioning

confidence: 99%

TDOA-Based Indoor Localization via Linear Fusion With Low-Rank Matrix Approximation

Li,

Elnahas,

Quan

2024

IEEE Internet Things J.

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Target indoor localization has become an attractive research topic due to its importance in location-based applications in wireless networks for sensing, controlling, and communicating. In TDOA-based localization models, timestamp packets must be exchanged between anchor nodes and target nodes. Timestamp measurements are susceptible to random transmission delays and packet loss in indoor environments, resulting in inaccurate positioning accuracy. In this paper, we propose a linear fusion indoor localization scheme based on TDOA with low-rank approximation to improve target localization accuracy and robustness. In an asynchronous localization model, we first formulate the indoor localization problem from incomplete and noisy timestamp measurements as a low-rank matrix completion problem. Furthermore, the proposed linear fusion algorithm is used to further optimize the localization accuracy by weighting multiple localization rounds. Simulation and experimental results indicate that the proposed method is more effective than the existing methods in the presence of packet loss and random delays.

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Section: A Related Work and Motivationmentioning

confidence: 99%

TDOA-Based Indoor Localization via Linear Fusion With Low-Rank Matrix Approximation

Li,

Elnahas,

Quan

2024

IEEE Internet Things J.

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“…In contrast, the pulse phase of the clock source changes rapidly due to factors such as temperature, pressure, and crystal oscillator operation state. It is necessary to optimize the clock source weight calculation in the small timescale [20,21]. Secondly, due to differences in the distance between the clock source and the power IoT gateway, as well as differences in the communication environment, the arrival time of TS signals varies.…”

Section: Introductionmentioning

confidence: 99%

RL and AHP-Based Multi-Timescale Multi-Clock Source Time Synchronization for Distribution Power Internet of Things

Lu,

Zhao,

et al. 2024

CMC

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Time synchronization (TS) is crucial for ensuring the secure and reliable functioning of the distribution power Internet of Things (IoT). Multi-clock source time synchronization (MTS) has significant advantages of high reliability and accuracy but still faces challenges such as optimization of the multi-clock source selection and the clock source weight calculation at different timescales, and the coupling of synchronization latency jitter and pulse phase difference. In this paper, the multi-timescale MTS model is conducted, and the reinforcement learning (RL) and analytic hierarchy process (AHP)-based multi-timescale MTS algorithm is designed to improve the weighted summation of synchronization latency jitter standard deviation and average pulse phase difference. Specifically, the multi-clock source selection is optimized based on Softmax in the large timescale, and the clock source weight calculation is optimized based on lower confidence bound-assisted AHP in the small timescale. Simulation shows that the proposed algorithm can effectively reduce time synchronization delay standard deviation and average pulse phase difference.

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“…UWB localization technology has the advantage of obtaining a high resolution within an error range of 10 cm due to a broad bandwidth of more than 500 MHz. There are some studies about accurate localization solutions using gradient clock synchronization algorithms [6], autonomously powered systems [7,8], and propagation characteristics for non-line-of-sight (NLoS) signals [9,10]. Therefore, there is a trend of replacing the existing Wi-Fi and Bluetooth technology, previously used for indoor real-time location systems, with UWB technology, which can be implemented with high accuracy and low cost.…”

Section: Introductionmentioning

confidence: 99%

Design of a Tripod-Shaped Radiator Patch Antenna for Ultra-Wideband Direction Finding

Youn,

Ohm,

Jang

et al. 2023

Sensors

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As UWB technology develops and devices become smaller, miniaturization techniques for an array antenna system are required. In addition, more in-depth research is needed for UWB direction-finding techniques using channel impulse response (CIR) data. This paper proposes an ultra-wideband (UWB) antenna using a single-radiator multiple-port (SRMP) design for the direction-finding systems of smart devices. The proposed SRMP antenna was designed using a single tripod-shaped patch that can replace the array system. The tripod-shaped radiator was optimized using the edge shape design function to improve its broadband and mutual coupling characteristics. For performance verification, the proposed antenna was fabricated, and the reflection coefficient, mutual coupling, and radiation patterns were measured in a fully anechoic chamber. The proposed antenna has an operating frequency band of 6.1 GHz (from 5.8 GHz to 11.9 GHz) for port 1 and a measured mutual coupling of −14.8 dB at 8 GHz. The SRMP antenna has measured maximum gains of 3.5 dBi for port 1 and 2.9 dBi for port 2. To examine the direction-finding performance, the fabricated antenna was connected to a circuit module with a DW3000 chip, which is widely employed in commercial mobile UWB systems. The direction of arrival (DoA) results using the measured CIR data show root-mean-square (RMS) errors of 1.57° and 4.58° at distances of 30 cm and 60 cm.

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Asymptotic Gradient Clock Synchronization in Wireless Sensor Networks for UWB Localization

Cited by 15 publications

References 30 publications

TDOA-Based Indoor Localization via Linear Fusion With Low-Rank Matrix Approximation

TDOA-Based Indoor Localization via Linear Fusion With Low-Rank Matrix Approximation

RL and AHP-Based Multi-Timescale Multi-Clock Source Time Synchronization for Distribution Power Internet of Things

Design of a Tripod-Shaped Radiator Patch Antenna for Ultra-Wideband Direction Finding

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