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Performance Analysis of Incoherent RF Tomography Using Wireless Sensor Networks

机译：使用无线传感器网络的非相干射频层析成像的性能分析

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摘要

This paper addresses the problem of imaging targets using radio signals transmitted by the nodes of a wireless sensor network. The sensors are assumed to be simple wireless communication devices, e.g., Wi-Fi cards, which are capable to measure only the received signal power. A fully incoherent linear inverse scattering approach is herein tackled, and a Rytov-based model is considered. The main contribution of this paper is concerned with the evaluation of the imaging performance achievable when phase information is not exploited in the inversion stage. The analysis is worked out with the singular value decomposition tool, in order to foresee the resolution limits for a given network arrangement and noise level on data. The popular coherent inverse scattering model of Born approximation is also considered as benchmark for comparison purposes. Numerical results based on full-wave data are reported to highlight the actual capabilities of the incoherent tomography.
机译：本文解决了使用无线传感器网络节点发送的无线电信号对目标成像的问题。假定传感器是简单的无线通信设备，例如Wi-Fi卡，它们只能测量接收到的信号功率。本文解决了完全不相干的线性逆散射方法，并考虑了基于Rytov的模型。本文的主要贡献在于评估在反演阶段不利用相位信息时可实现的成像性能。该分析使用奇异值分解工具进行，以便预见给定网络布置的分辨率限制和数据上的噪声水平。流行的相干波恩近似逆散射模型也被视为比较的基准。据报道，基于全波数据的数值结果突出了非相干层析成像的实际功能。

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