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See-Through Walls: Motion Tracking Using Variance-Based Radio Tomography Networks
Abstract
This paper presents a new method for imaging, localizing, and tracking motion behind walls in real time. The method takes advantage of the motion-induced variance of received signal strength measurements made in a wireless peer-to-peer network. Using a multipath channel model, we show that the signal strength on a wireless link is largely dependent on the power contained in multipath components that travel through space containing moving objects. A statistical model relating variance to spatial locations of movement is presented and used as a framework for the estimation of a motion image. From the motion image, the Kalman filter is applied to recursively track the coordinates of a moving target. Experimental results for a 34-node through-wall imaging and tracking system over a 780 square foot area are presented.
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Cites
Fundamentals of Wireless Communication
Tse, D., & Viswanath, P. (2005) · doi:10.1017/cbo9780511807213 · Cited by 13,162
Cited by
Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks
Wang, J., Jiang, C., Zhang, H., Ren, Y., Chen, K.-C., & Hanzo, L. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2965856 · Cited by 486
Capturing the human figure through a wall
Adib, F., Hsu, C.-Y., Mao, H., Katabi, D., & Durand, F. (2015) · ACM Transactions on Graphics · doi:10.1145/2816795.2818072 · Cited by 443
Wireless Sensing for Human Activity: A Survey
Liu, J., Liu, H., Chen, Y., Wang, Y., & Wang, C. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2934489 · Cited by 414
A survey of active and passive indoor localisation systems
Deak, G., Curran, K., & Condell, J. (2012) · Computer Communications · doi:10.1016/j.comcom.2012.06.004 · Cited by 408
Nuzzer: A Large-Scale Device-Free Passive Localization System for Wireless Environments
Seifeldin, M., Saeed, A., Kosba, A. E., El-Keyi, A., & Youssef, M. (2013) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2012.106 · Cited by 365
Metadata
- Authors
- Wilson, J., & Patwari, N.
- Venue
- IEEE Transactions on Mobile Computing
- Published
- 2011-05
- Volume
- 10
- Issue
- 5
- Pages
- 612-621
- ISSN
- 1536-1233 (ISSN-L)
- OpenAlex
- W2147124620
- Cited by
- 502
- References
- 1
- FWCI
- 27.16
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wilson, J., & Patwari, N. (2011). See-Through Walls: Motion Tracking Using Variance-Based Radio Tomography Networks. IEEE Transactions on Mobile Computing. https://doi.org/10.1109/tmc.2010.175
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
