Advanced TOA Estimation For Multipath Channels

Rabih Chrabieh, Peter Bagnall, Serdar Sezginer, and Dirk Slock

Peer Reviewed

Abstract:	Abstract—In this paper, estimation of time of arrival (TOA) in multipath environments is tackled as it is considered a real limiting factor in terrestrial and GNSS positioning systems. Novel methods are presented for designing novel near-causal filters and TOA-Matched Filters (TOA-MF) that facilitate estimation of the TOA. Near and far multipath are effectively reduced including in NLOS environments. Post application of the filter, a reduced complexity Maximum Likelihood (ML) estimation of the TOA is proposed. Simulations and field results confirm the efficiency of the proposed solution. This opens the door for optimized multitechnology approaches, which allows cost-effective and ultra-lowpower solutions for accurate positioning.
Published in:	2020 IEEE/ION Position, Location and Navigation Symposium (PLANS) April 20 - 23, 2020 Hilton Portland Downtown Portland, Oregon
Pages:	1349 - 1357
Cite this article:	Chrabieh, Rabih, Bagnall, Peter, Sezginer, Serdar, Slock, Dirk, "Advanced TOA Estimation For Multipath Channels," 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), Portland, Oregon, April 2020, pp. 1349-1357.
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