基于WiFi嗅探的室内人员定位系统
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南京信息工程大学长望学院 南京 210044

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TP806.1

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国家自然科学基金(12074192)项目资助


Indoor positioning system based on WiFi sniffing
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Changwang School of Honors,Nanjing University of Information Science & Technology,Nanjing 210044, China

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    摘要:

    为了获知行人在楼宇中的位置信息,设计了一个基于WiFi嗅探的室内人员定位系统。使用WiFi指纹法来实现定位功能,并在指纹法中引入信道特征,来分析不同信道对信号强度的影响。本设计的主控芯片选用了国产安路公司的FPGA芯片,使用FPGA芯片进行指纹库的匹配,同时依靠FPGA丰富的拓展接口,本设计开发了局域网网站以及基于串口屏的显示界面来进行人机交互。以南京信息工程大学文德楼3楼北区为实验地点,在2 m宽的走廊里,本系统对14个房间的定位准确度均可以达到90%,响应时间小于6 s。本设计所有器件均为国产,推广性较好,应用范围较广。

    Abstract:

    In order to get the location information of pedestrians in buildings, an indoor personnel location system based on WiFi sniffing is designed. The WiFi fingerprint method is used to realize the positioning function, and the channel characteristics are introduced into the fingerprint method to analyze the influence of different channels on the signal strength. The main control chip of this design selects the FPGA chip of the domestic Anlu company, and uses the FPGA chip to match the fingerprint library. At the same time, relying on the rich expansion interface of FPGA, this design has developed a LAN website and a display interface based on the serial port screen for human-computer interaction. Taking the north area of the third floor of Wende building of NUIST as the experimental site, in the 2 m wide corridor, the positioning accuracy of the system for 14 rooms can reach 90%, and the response time is less than 6 s. All devices in this design are made in China with good popularization and wide application range.

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杨啸鹏,华国环.基于WiFi嗅探的室内人员定位系统[J].电子测量技术,2023,46(2):19-24

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  • 在线发布日期: 2024-03-11
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