2026-09-19T06:54:41Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1271172026-08-04T02:08:34Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Moe Z. Win.
Yu, Zehao.
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics.
2020-09-03T17:47:43Z
2020-09-03T17:47:43Z
2020
2020
https://hdl.handle.net/1721.1/127117
1191836271
Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, May, 2020
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 69-78).
Location-awareness in next generation wireless networks will be a key enabler for numerous emerging applications. Recently, a novel approach to localization based on soft information (SI), exploiting all positional information inherent in measurement and contextual data, has been proposed. This thesis further develops SI-based localization by establishing a new approach relying on channel state information (CSI) measurements. In particular, we design an efficient joint message-passing (MP) localization algorithm, which consists of two layers: the transformation layer and the estimation layer. The transformation layer extracts SI of the channel impulse response (CIR) from CSI measurements using a sparsity promoting prior model, which addresses the difficulty of unknown number of multipath in estimating the CIR. The estimation layer infers node positions based on the SI of the CIR using a delay-origin uncertainty model, which describes the conditional distribution of the delays in the CIR given node positions. Simulation results using QuaDriGa channel simulator show that our localization algorithm achieves decimeter-level localization accuracy for both Wi-Fi and mmWave signals, which outperforms conventional algorithms.
by Zehao Yu.
S.M.
S.M. Massachusetts Institute of Technology, Department of Aeronautics and Astronautics
78 pages
eng
Massachusetts Institute of Technology
MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
http://dspace.mit.edu/handle/1721.1/7582
Aeronautics and Astronautics.
Towards location-awareness in next generation wireless networks : a new approach based on channel state information
Thesis
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
application/pdf
2020-09-03T17:47:41Z
Publication
Master
Aero
unknown
unknown
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<Abstract>Location-awareness in next generation wireless networks will be a key enabler for numerous emerging applications. Recently, a novel approach to localization based on soft information (SI), exploiting all positional information inherent in measurement and contextual data, has been proposed. This thesis further develops SI-based localization by establishing a new approach relying on channel state information (CSI) measurements. In particular, we design an efficient joint message-passing (MP) localization algorithm, which consists of two layers: the transformation layer and the estimation layer. The transformation layer extracts SI of the channel impulse response (CIR) from CSI measurements using a sparsity promoting prior model, which addresses the difficulty of unknown number of multipath in estimating the CIR. The estimation layer infers node positions based on the SI of the CIR using a delay-origin uncertainty model, which describes the conditional distribution of the delays in the CIR given node positions. Simulation results using QuaDriGa channel simulator show that our localization algorithm achieves decimeter-level localization accuracy for both Wi-Fi and mmWave signals, which outperforms conventional algorithms.</Abstract>
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