Detector Based Radio Tomographic Imaging
H\"useyin Yi\u{g}itler, Riku J\"antti, Ossi Kaltiokallio, and Neal, Patwari

TL;DR
This paper introduces a back-projection based radio tomographic imaging method for indoor localization that is computationally efficient, scalable, and physically meaningful, while maintaining accuracy.
Contribution
It presents a novel back-projection algorithm for radio tomographic imaging that reduces computational complexity and data size without sacrificing accuracy.
Findings
Achieves lower computational complexity with no floating point multiplications.
Uses single-bit data per link for improved scalability.
Maintains accuracy comparable to existing methods.
Abstract
Received signal strength based radio tomographic imaging is a popular device-free indoor localization method which reconstructs the spatial loss field of the environment using measurements from a dense wireless network. Existing methods solve an associated inverse problem using algebraic or compressed sensing reconstruction algorithms. We propose an alternative imaging method that reconstructs spatial field of occupancy using a back-projection based reconstruction algorithm. The introduced system has the following advantages over the other imaging based methods: i.) significantly lower computational complexity such that no floating point multiplication is required; ii.) each link's measured data is compressed to a single bit, providing improved scalability; iii.) physically significant and repeatable parameters. The proposed method is validated using measurement data. Results show that…
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