Localization Based on Channel Impulse Response Estimates

Zehao Yu, Zhenyu Liu, Florian Meyer, Andrea Conti, and Moe Z. Win

Abstract: Location-awareness using wireless signals is a key enabler for numerous emerging applications. Inspired by the recently proposed soft information (SI)-based localization, this paper develops a localization algorithm based on estimates of the channel impulse response (CIR), which inherently contains position information. We propose a delay-origin uncertainty model for describing the conditional distribution of the delays in CIR given node positions. A scalable localization algorithm is designed using belief propagation (BP) on a factor graph that incorporates the uncertainty model. The performance of the developed algorithm is quantified for mmWave signals using QuaDriGa channel simulator, showing decimeter-level localization accuracy in typical indoor environments.
Published in: 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS)
April 20 - 23, 2020
Hilton Portland Downtown
Portland, Oregon
Pages: 1014 - 1021
Cite this article: Yu, Zehao, Liu, Zhenyu, Meyer, Florian, Conti, Andrea, Win, Moe Z., "Localization Based on Channel Impulse Response Estimates," 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), Portland, Oregon, April 2020, pp. 1014-1021.
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