Abstract
: A sequential Bayesian estimation algorithm for multipath mitigation is presented, with an underlying movement model that is especially designed for dynamic channel scenarios. In order to facilitate efficient integration into receiver tracking loops it builds upon complexity reduction concepts that previously have been applied within Maximum Likelihood (ML) estimators. To demonstrate its capabilities under different GNSS signal conditions, simulation results are presented for both artificially generated random channels and high resolution channel impulse responses recorded during a measurement campaign.
Original language | English |
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Pages | 1712-1721 |
Publication status | Published - 2007 |
Event | International Technical Meeting of the Institute of Navigation Satellite Division, (ION GNSS), 2007 - Forth Worth, TX, United States Duration: 2007 Sept 25 → 2007 Sept 28 |
Conference
Conference | International Technical Meeting of the Institute of Navigation Satellite Division, (ION GNSS), 2007 |
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Country/Territory | United States |
City | Forth Worth, TX |
Period | 2007/09/25 → 2007/09/28 |
Subject classification (UKÄ)
- Electrical Engineering, Electronic Engineering, Information Engineering
Free keywords
- GNSS
- positioning
- multipath mitigation