The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
High-Accuracy Localization for Assisted Living: 5G systems will turn multipath channels from foe to friend
Open accessAbstract
Assisted living (AL) technologies, enabled by technical advances such as the advent of the Internet of Things, are increasingly gaining importance in our aging society. This article discusses the potential of future high-accuracy localization systems as a key component of AL applications. Accurate location information can be tremendously useful to realize, e.g., behavioral monitoring, fall detection, and real-time assistance. Such services are expected to provide older adults and people with disabilities with more independence and thus to reduce the cost of caretaking. Total cost of ownership and ease of installation are paramount to make sensor systems for AL viable. In case of a radio-based indoor localization system, this implies that a conventional solution is unlikely to gain widespread adoption because of its requirement to install multiple fixed nodes (anchors) in each room. This article therefore places its focus on 1) discussing radiolocalization methods that reduce the required infrastructure by exploiting information from reflected multipath components (MPCs) and 2) showing that knowledge about the propagation environment enables localization with high accuracy and robustness. It is demonstrated that new millimeter-wave (mm-wave) technology, under investigation for 5G communications systems, will be able to provide centimeter (cm)-accuracy indoor localization in a robust manner, ideally suited for AL.
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Cites
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Survey of Cellular Mobile Radio Localization Methods: From 1G to 5G
del Peral-Rosado, J. A., Raulefs, R., Lopez-Salcedo, J. A., & Seco-Granados, G. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2785181 · Cited by 664
Reconfigurable Intelligent Surfaces: A signal processing perspective with wireless applications
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Message Passing Algorithms for Scalable Multitarget Tracking
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Self-citationReconfigurable Intelligent Surfaces for Localization: Position and Orientation Error Bounds
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Quantum Search Algorithms for Wireless Communications
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Metadata
- Authors
- Witrisal, K., Meissner, P., Leitinger, E., Shen, Y., Gustafson, C., Tufvesson, F., Haneda, K., Dardari, D., Molisch, A. F., Conti, A., & Win, M. Z.
- Venue
- IEEE Signal Processing Magazine
- Published
- 2016-03
- Volume
- 33
- Issue
- 2
- Pages
- 59-70
- ISSN
- 1053-5888 (ISSN-L)
- OpenAlex
- W2296150501
- Cited by
- 448
- References
- 30
- FWCI
- 22.11
- Type
- journal article
- Language
- en
- Open access
- green
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- Witrisal, K., Meissner, P., Leitinger, E., Shen, Y., Gustafson, C., Tufvesson, F., Haneda, K., Dardari, D., Molisch, A. F., Conti, A., & Win, M. Z. (2016). High-Accuracy Localization for Assisted Living: 5G systems will turn multipath channels from foe to friend. IEEE Signal Processing Magazine. https://doi.org/10.1109/msp.2015.2504328
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