WiCamera: Vortex Electromagnetic Wave-Based WiFi Imaging

IF 7.7 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Leiyang Xu;Xiaolong Zheng;Xinrun Du;Liang Liu;Huadong Ma
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引用次数: 0

Abstract

Current WiFi imaging approaches focus on monitoring dynamic targets to facilitate easy object distinction and capture rich signal reflections for image construction. In static object imaging, massive antenna array or emulated antenna array is often necessary. We propose WiCamera, a novel WiFi imaging prototype that utilizes vortex electromagnetic waves (VEMWs) to monitor stationary human postures using commodity WiFi, by generating human silhouettes with only $3 \times 3$ MIMO. VEMWs possess a helical wavefront with different phase variations, enabling the imaging of stationary objects through different OAM (Orbital Angular Momentum) modes with time-division multiplexing. WiCamera emits three OAM modes waves from WiFi devices and utilizes their phase variations for imaging. By ray tracing the received signals to a target image plane, WiCamera generates a wavefront image. A generative adversarial network (GAN)-based model is further utilized to refine the wavefront image and create a high-resolution human silhouette. The system's output images are evaluated using metrics such as structural similarity index measure (SSIM) and Szymkiewicz-Simpson coefficient (SSC), comparing them to ground truth images captured by cameras. The evaluation shows that WiCamera performs consistently well in various environments and with different users, with an SSIM reaching up to 0.89 and an SSC reaching up to 0.93.
目前的 WiFi 成像方法侧重于监测动态目标,以便于区分物体,并捕捉丰富的信号反射来构建图像。在静态物体成像中,通常需要大规模天线阵列或仿真天线阵列。我们提出的WiCamera是一种新颖的WiFi成像原型,它利用涡旋电磁波(VEMWs)来监测静止的人体姿态,只需3美元的多输入多输出(MIMO)就能生成人体剪影。涡旋波具有不同相位变化的螺旋波面,可通过不同的OAM(轨道角动量)模式和时分复用技术对静止物体进行成像。WiCamera 从 WiFi 设备发射三种 OAM 模式波,并利用其相位变化进行成像。通过将接收到的信号光线追踪到目标图像平面,WiCamera 可生成波前图像。基于生成式对抗网络(GAN)的模型被进一步用于完善波前图像并创建高分辨率的人体轮廓。该系统的输出图像采用结构相似性指数(SSIM)和 Szymkiewicz-Simpson 系数(SSC)等指标进行评估,并与摄像头捕捉的地面真实图像进行比较。评估结果表明,WiCamera 在不同环境和不同用户中的表现始终如一,其结构相似性指数最高达 0.89,SSC 最高达 0.93。
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来源期刊
IEEE Transactions on Mobile Computing
IEEE Transactions on Mobile Computing 工程技术-电信学
CiteScore
12.90
自引率
2.50%
发文量
403
审稿时长
6.6 months
期刊介绍: IEEE Transactions on Mobile Computing addresses key technical issues related to various aspects of mobile computing. This includes (a) architectures, (b) support services, (c) algorithm/protocol design and analysis, (d) mobile environments, (e) mobile communication systems, (f) applications, and (g) emerging technologies. Topics of interest span a wide range, covering aspects like mobile networks and hosts, mobility management, multimedia, operating system support, power management, online and mobile environments, security, scalability, reliability, and emerging technologies such as wearable computers, body area networks, and wireless sensor networks. The journal serves as a comprehensive platform for advancements in mobile computing research.
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