Wi-Fi Based Multi Target Device-Free Sensing Using Joint TX-RX Beamforming

使用联合 TX-RX 波束成形的基于 Wi-Fi 的多目标无设备感测

基本信息

项目摘要

For the F.Y. 2021, we have developed a platform capable of 4x4 Multiple Input Multiple Output (MIMO) as well as Multi-user with 2 users which will be used to implement the proposed Multi-target WiFi sensing project . The platform was built using multiple ADRV9009 FGPA with a ZCU102 RF daughterboards connected via Ethernet for board to board communication. Transmissions and receptions using the platform is done using a host PC running Matlab and connected to the FPGA board ethernet network.Using the platform, we have tested its capability to perform real time WiFi sensing. Currently, the tests were done with a single transmitting device and a single receiving device. With this setup, a single WiFi target is sensed accurately. Using MIMO processing, we used multiple antennas from the receiver and measure the changes in the eigenvalues of the MIMO channel in order to detect human beings movement. The detection of the human beings were done using conventional artificial intelligence aided systems provided by a Matlab Toolbox. Our preliminary results show that single WiFi target can be easily sensed using the developed platform. In the future, the goal of this project is to provide a modified system that allows Wi-Fi sensing of multiple targets with similar accuracy as the single target one.
供参考。于二零二一年,我们已开发一个可支持4x 4多输入多输出(MIMO)及2用户多用户的平台,将用于实施建议的多目标WiFi传感项目。该平台使用多个ADRV 9009 FGPA构建,并通过以太网连接一个ZCU 102 RF子板,以实现板对板通信。使用该平台的传输和接收是使用运行Matlab的主机PC并连接到FPGA板以太网网络来完成的。使用该平台,我们已经测试了其执行真实的时间WiFi传感的能力。目前,测试是用单个发射设备和单个接收设备完成的。通过这种设置,可以准确地感测单个WiFi目标。使用MIMO处理,我们使用来自接收器的多个天线,并测量MIMO信道的特征值的变化,以检测人体运动。人类的检测是使用由Matlab提供的传统人工智能辅助系统完成的。我们的初步结果表明,单个WiFi目标可以很容易地使用开发的平台。在未来,该项目的目标是提供一个改进的系统,允许Wi-Fi传感多个目标,其精度与单个目标相似。

项目成果

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