个人信息Personal Information
教授级高工
性别:女
毕业院校:大连理工大学
学位:博士
所在单位:控制科学与工程学院
电子邮箱:qhgao@dlut.edu.cn
Device-Free Vehicle Speed Estimation With WiFi
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论文类型:期刊论文
发表时间:2018-09-01
发表刊物:IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
收录刊物:SCIE
卷号:67
期号:9
页面范围:8205-8214
ISSN号:0018-9545
关键字:Device-free; wireless sensing; speed estimation; WiFi
摘要:Vehicle networks is a promising technique, which could provide ubiquitous wireless access for vehicles and realize intelligent transportation. Motivated by the recent advances on device-free wireless sensing, this paper explores a novel technique, which could estimate the speed of a vehicle by analyzing its influence on surrounding wireless signals from roadside wireless infrastructures, such as WiFi. This technique could enable vehicle networks with new moving speed sensing ability and evolve it into a large-scale sensing network, which could monitor the traffic status seamlessly. To achieve this goal, in this paper, we propose and formulate a model to characterize the relationship between the phase and amplitude measurements and the vehicle speed. Based on the model, we develop an efficient method to detect the vehicle and estimate its speed accordingly using the frequency-domain information involved in the spectrogram. We carry out extensive experiments utilizing commodity WiFi. The experimental results reveal that the proposed method could estimate the speed with an error of less than 2.6 km/h, which meets the United Nations regulation for speedometer.