DiFS: Wi-Fi Based Directed Fresnel Signature Localization for Mobile Ship Environment

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Sensors Journal Pub Date : 2024-04-30 DOI:10.1109/JSEN.2024.3392913
Kezhong Liu;Guoyu Wang;Cong Chen;Xuming Zeng;Guangmo Tong;Mozi Chen
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Abstract

The device-free localization of individuals not equipped with a radio device plays a critical role in cruise ships, particularly during an emergency. In this article, we introduce a device-free localization scheme requiring low human effort, i.e., directed Fresnel signature (DiFS), which utilizes an onboard off-the-shelf Wi-Fi infrastructure. An intuitive idea of DiFS is that because the channel state information (CSI) is sensitive to the target location within the Wi-Fi Fresnel zone, the target location can be determined by extracting the Fresnel signature and coordinates of the Wi-Fi access points (APs). However, due to the skin effect of signal propagation onboard a ship, CSI cannot reflect a target with precision. Furthermore, an undirected Fresnel signature may lead to misinterpretation if the Wi-Fi APs are not deployed perfectly. We observed that the power delay profiles (PDPs) can accurately reflect the target shadowing within the Fresnel zone in a rich multipath environment. In addition, we leverage the specific skin effect in metal ships and infer DiFSs using a set of power fading models. Extensive experimental results on an actual ship demonstrate that DiFS outperforms the state-of-the-art methods and achieves an accuracy of 0.9 and 1.2 m in the line-of-sight (LoS) and non-LoS (NLoS) scenarios, respectively.
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DiFS:基于 WiFi 的定向菲涅尔信号定位,用于移动船舶环境
在游轮上,尤其是在紧急情况下,对未配备无线电设备的人员进行无设备定位起着至关重要的作用。在本文中,我们介绍了一种只需少量人力的无设备定位方案,即定向菲涅尔签名(DiFS),它利用了船上现成的 Wi-Fi 基础设施。DiFS 的直观理念是,由于信道状态信息(CSI)对 Wi-Fi 菲涅尔区域内的目标位置很敏感,因此可以通过提取菲涅尔特征和 Wi-Fi 接入点(AP)的坐标来确定目标位置。然而,由于船上信号传播的集肤效应,CSI 无法精确反映目标。此外,如果 Wi-Fi 接入点部署得不够完美,不定向的菲涅尔信号可能会导致误读。我们观察到,在丰富的多径环境中,功率延迟曲线(PDP)能准确反映菲涅尔区域内的目标阴影。此外,我们还利用金属船舶的特殊趋肤效应,使用一组功率衰减模型来推断 DiFS。在一艘实际船舶上进行的大量实验结果表明,DiFS 优于最先进的方法,在视距(LoS)和非视距(NLoS)情况下分别达到了 0.9 米和 1.2 米的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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