The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Direct Localization for Massive MIMO
Open accessAbstract
Large-scale MIMO systems are well known for their advantages in communications, but they also have the potential for providing very accurate localization, thanks to their high angular resolution. A difficult problem arising indoors and outdoors is localizing users over multipath channels. Localization based on angle of arrival (AOA) generally involves a two-step procedure, where signals are first processed to obtain a user's AOA at different base stations, followed by triangulation to determine the user's position. In the presence of multipath, the performance of these methods is greatly degraded due to the inability to correctly detect and/or estimate the AOA of the line-of-sight (LOS) paths. To counter the limitations of this two-step procedure which is inherently suboptimal, we propose a direct localization approach in which the position of a user is localized by jointly processing the observations obtained at distributed massive MIMO base stations. Our approach is based on a novel compressed sensing framework that exploits channel properties to distinguish LOS from non-LOS signal paths, and leads to improved performance results compared to previous existing methods.
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Cites
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Self-citationScaling Up MIMO: Opportunities and Challenges with Very Large Arrays
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Self-citationScaling up MIMO: Opportunities and challenges with very large arrays
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Self-citationA sparse signal reconstruction perspective for source localization with sensor arrays
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Cited by
Position and Orientation Estimation Through Millimeter-Wave MIMO in 5G Systems
Shahmansoori, A., Garcia, G. E., Destino, G., Seco-Granados, G., & Wymeersch, H. (2018) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2017.2785788 · Cited by 536
Self-citationDeep convolutional neural networks for massive MIMO fingerprint-based positioning
Vieira, J., Leitinger, E., Sarajlic, M., Li, X., & Tufvesson, F. (2017) · 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) · doi:10.1109/pimrc.2017.8292280 · Cited by 186
Metadata
- Authors
- Garcia, N., Wymeersch, H., Larsson, E. G., Haimovich, A. M., & Coulon, M.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 2017-05-15
- Volume
- 65
- Issue
- 10
- Pages
- 2475-2487
- ISSN
- 1053-587X (ISSN-L)
- 1941-0476
- OpenAlex
- W2469797310
- Cited by
- 379
- References
- 31
- FWCI
- 15.89
- Type
- journal article
- Language
- en
- Open access
- green
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