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ARTI: An Adaptive Radio Tomographic Imaging System
- Source :
- IEEE Transactions on Vehicular Technology. 66:7302-7316
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- Radio tomographic imaging systems use received signal strength measurements between static wireless sensors to image the changes in the radio propagation environment in the area of the sensors, which can be used to localize a person causing the change. To date, spatial models used for such systems are set a priori and do not change. Imaging and tracking performance suffers because of the mismatch between the model and the measurements. Collecting labeled training data requires intensive effort, and the data degrade quickly as the environment changes. This paper provides a means for a radio tomographic imaging system to bootstrap to improve its spatial models using unlabeled data, iteratively improving itself over time. A collection of tracking filters are presented to improve the accuracy of image and coordinate estimates. This paper presents an online method to use these estimates to instantaneously update spatial model parameters. Further, a smoothing method is presented to fine-tune the model with a given finite latency. The development efforts are evaluated using simulations and validated with real-world experiments conducted in three different environments. With respect to another state-of-the-art radio tomographic imaging system, the results suggest that the presented system increases the median tracking accuracy by twofold in the most challenging environment and by threefold when the model parameters are trained using the smoothing method.
- Subjects :
- Engineering
Computer Networks and Communications
Latency (audio)
Aerospace Engineering
02 engineering and technology
RF sensor networks
Tracking (particle physics)
01 natural sciences
Set (abstract data type)
0202 electrical engineering, electronic engineering, information engineering
Wireless
Computer vision
Electrical and Electronic Engineering
Simulation
ta113
Tomographic reconstruction
ta213
business.industry
010401 analytical chemistry
020206 networking & telecommunications
device-free localization
Bayesian filtering and smoothing
0104 chemical sciences
Radio propagation
received signal strength
RF tomography
Automotive Engineering
A priori and a posteriori
Artificial intelligence
business
Smoothing
Subjects
Details
- ISSN :
- 19399359 and 00189545
- Volume :
- 66
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Vehicular Technology
- Accession number :
- edsair.doi.dedup.....3b237cdb6e822c24fa30980fefdb2ad9