To address the sensor location uncertainty problem, this paper proposes a novel stochastic robust approximation (SRA) method for RTI (SRA-RTI). Simulation-based ...
In the real-world RTI model, the data is always perturbed by uncertainty. Therefore, uncertainty in sensor node location leads to uncertainty in the input data ...
Radio Tomographic Imaging with Input Sensor Location Uncertainty
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By estimating both the sensor states and the target states simultaneously, we can improve the applicability and accuracy of the tracking system, ...
Radio Tomographic Imaging with Input Sensor Location Uncertainty. Abhijit Mishra 1. ,. Upendra Kumar Sahoo 1. ,. Subrata Maiti 1. Show full list: 3 authors.
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Robust radio tomographic imaging for localization of targets under uncertain sensor location scenario. Object localization and tracking employing device-free ...
Nov 1, 2022 · This article conducts a comprehensive survey of the recent RTI methods from the viewpoint of uncertainty quantification.
Missing: Input | Show results with:Input
Jan 22, 2019 · This paper proposes to improve the quality of measurements by using spatial diversity. The key insight is that, with multiple antennae equipped, due to small- ...
Missing: Input | Show results with:Input
An RTI system provides current images of the location of people and their movements, but cannot be used to identify a person. A. Applications. One main ...
Missing: Input Uncertainty.
Radio Tomographic Imaging (RTI) is a novel technology to reconstruct the target-induced shadowing effect of signal propagation in the Radio-Frequency (RF) ...
Nov 22, 2019 · Radio tomographic imaging (RTI) is a technology for target localization by using radio frequency (RF) sensors in a wireless network.
Missing: Uncertainty. | Show results with:Uncertainty.