TR2020-056
Fingerprinting-Based Outdoor Localization with 28-GHz Channel Measurement: A Field Study
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- "Fingerprinting-Based Outdoor Localization with 28-GHz Channel Measurement: A Field Study", IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), DOI: 10.1109/SPAWC48557.2020.9154212, May 2020.BibTeX TR2020-056 PDF
- @inproceedings{Sun2020may,
- author = {Sun, Haijian and Wang, Pu and Pajovic, Milutin and Koike-Akino, Toshiaki and Orlik, Philip V. and Taira, Akinori and Nakagawa, Kenji},
- title = {Fingerprinting-Based Outdoor Localization with 28-GHz Channel Measurement: A Field Study},
- booktitle = {IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)},
- year = 2020,
- month = may,
- publisher = {IEEE},
- doi = {10.1109/SPAWC48557.2020.9154212},
- issn = {1948-3252},
- isbn = {978-1-7281-5478-7},
- url = {https://www.merl.com/publications/TR2020-056}
- }
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- "Fingerprinting-Based Outdoor Localization with 28-GHz Channel Measurement: A Field Study", IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), DOI: 10.1109/SPAWC48557.2020.9154212, May 2020.
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Abstract:
This paper considers localization with 28-GHz millimeter wave (mmWave) channel measurements in an outdoor environment. Compared with mmWave channel characterization by real-world experiments, localization using real-world 28-GHz experiments has been much less reported. To fill the gap, we report here a preliminary field study of using real-world 28-GHz channel frequency responses (CFR) with a wide bandwidth of 500 MHz for outdoor localization. Specifically, we employ a fingerprinting-based localization approach by registering the location information using multiple wideband CFR measurements and exploring the transmit-receive antenna polarization. Our experimental results demonstrate that, with a full bandwidth of 500 MHz, a correlation-based fingerprinting localization can fully identify all 8 locations with a 1-m separation without any error. The probability of successful localization reduces to 97% or 91.5%, respectively, when two or just one narrowband (< 15 MHz) CFR measurements are used for the training dataset.