中文
相关论文

相关论文: Realizing Multi-Point Vehicular Positioning via Mi…

200 篇论文

This paper focuses on the problem of localising a transmitting mobile station (MS) using multiple cooperative base stations (BSs). There are two technical difficulties: one is the data association between intermediate parameters and…

信号处理 · 电气工程与系统科学 2019-11-21 Hengyan Liu , Wei Dai , Yuan Shen

In future wireless communication systems, millimeter waves (mmWaves) will play an important role in meeting high data rates. However, due to their short wavelengths, these mmWaves present high propagation losses and are highly attenuated by…

网络与互联网体系结构 · 计算机科学 2025-01-16 Mbissane Dieng , Gheorghe Zaharia , Ghaïs El Zein , Raphaël Gillard , Renaud Loison

Characterization of the millimeter wave wireless channel is needed to facilitate fully connected vehicular communication in the future. To study the multipath-rich, rapidly varying nature of the vehicular propagation environment, fast…

In this paper, we consider a passive radar system that estimates the positions and velocities of multiple moving targets by using OFDM signals transmitted by a totally un-coordinated and un-synchronizated illuminator and multiple receivers.…

信息论 · 计算机科学 2019-07-01 Yinchuan Li , Xiaodong Wang , Zegang Ding

The commercial availability of low-cost millimeter wave (mmWave) communication and radar devices is starting to improve the penetration of such technologies in consumer markets, paving the way for large-scale and dense deployments in…

网络与互联网体系结构 · 计算机科学 2022-05-26 Anish Shastri , Neharika Valecha , Enver Bashirov , Harsh Tataria , Michael Lentmaier , Fredrik Tufvesson , Michele Rossi , Paolo Casari

In the past, NLOS propagation was shown to be a source of distortion for radio-based positioning systems. Every NLOS component was perceived as a perturbation which resulted from the lack of temporal and spatial resolution of previous…

信息论 · 计算机科学 2017-12-06 Rico Mendrzik , Henk Wymeersch , Gerhard Bauch , Zohair Abu-Shaban

Displaced automotive sensor imaging exploits joint processing of the data acquired from multiple radar units, each of which may have limited individual resources, to enhance the localization accuracy. Prior works either consider perfect…

信号处理 · 电气工程与系统科学 2020-10-09 Guohua Wang , Kumar Vijay Mishra

In this paper we propose a novel semantic localization algorithm that exploits multiple sensors and has precision on the order of a few centimeters. Our approach does not require detailed knowledge about the appearance of the world, and our…

Target classification is an important task of automotive radar systems. In this work, a concept for estimating the height of vehicles to allow for a differentiation between passenger cars, trucks, and others, is presented and discussed.…

信号处理 · 电气工程与系统科学 2023-12-19 Soren Kohnert , Michael Vogt , Reinhard Stolle

5G millimeter wave (mmWave) technology is envisioned to be an integral part of next-generation vehicle-to-everything (V2X) networks and autonomous vehicles due to its broad bandwidth, wide field of view sensing, and precise localization…

信号处理 · 电气工程与系统科学 2018-08-06 Chethan Kumar Anjinappa , Ismail Guvenc

We exploit millimeter wave technology to measure the reflection and transmission response of random dielectric media. Our samples are easily constructed from random stacks of identical, sub-wavelength quartz and Teflon wafers. The…

介观与纳米尺度物理 · 物理学 2009-11-13 John A. Scales , L. D. Carr , D. B. McIntosh , Valentin Freilikher , Yu. P. Bliokh

This paper is about localising a vehicle in an overhead image using FMCW radar mounted on a ground vehicle. FMCW radar offers extraordinary promise and efficacy for vehicle localisation. It is impervious to all weather types and lighting…

计算机视觉与模式识别 · 计算机科学 2020-02-10 Tim Y. Tang , Daniele De Martini , Dan Barnes , Paul Newman

Estimating vehicles' locations is one of the key components in intelligent traffic management systems (ITMSs) for increasing traffic scene awareness. Traditionally, stationary sensors have been employed in this regard. The development of…

计算机视觉与模式识别 · 计算机科学 2022-03-22 Elnaz Namazi , Rudolf Mester , Chaoru Lu , Jingyue Li

With vast mmWave spectrum and narrow beam antenna technology, precise position location is now possible in 5G and future mobile communication systems. In this article, we describe how centimeterlevel localization accuracy can be achieved,…

信息论 · 计算机科学 2021-02-25 Ojas Kanhere , Theodore S. Rappaport

Millimeter-wave communication is a challenge in the highly mobile vehicular context. Traditional beam training is inadequate in satisfying low overheads and latency. In this paper, we propose to combine machine learning tools and…

信息论 · 计算机科学 2018-05-24 Yuyang Wang , Murali Narasimha , Robert W. Heath

In this paper, a novel approach that uses an unmanned aerial vehicle (UAV)-carried intelligent reflector (IR) is proposed to enhance the performance of millimeter wave (mmW) networks. In particular, the UAV-IR is used to intelligently…

信息论 · 计算机科学 2019-08-21 Qianqian Zhang , Walid Saad , Mehdi Bennis

As a means to control wireless propagation environments, the use of emerging and novel intelligent reflecting surfaces (IRS) is envisioned to enhance and broaden many applications in future wireless networks. This paper is concerned with a…

信号处理 · 电气工程与系统科学 2020-03-23 Dian-Wu Yue , Ha H. Nguyen , Yu Sun

Millimeter-wave (mmWave) systems in the 30--300 GHz bands are among the fundamental enabling technologies of 5G and beyond 5G, providing large bandwidths, not only for high data rate communication, but also for precise positioning services,…

信号处理 · 电气工程与系统科学 2023-02-03 Shengqiang Shen , Henk Wymeersch

Future smart vehicles will incorporate high-data-rate communications and high-resolution radar sensing capabilities operating in the millimeter-wave and higher frequencies. These two systems are preparing to share and reuse a lot of common…

Automotive mmWave radar has been widely used in the automotive industry due to its small size, low cost, and complementary advantages to optical sensors (e.g., cameras, LiDAR, etc.) in adverse weathers, e.g., fog, raining, and snowing. On…

机器人学 · 计算机科学 2022-02-23 Pengen Gao , Shengkai Zhang , Wei Wang , Chris Xiaoxuan Lu