Dynamic Multipath Estimation by Sequential Monte Carlo Methods
Författare
Summary, in English
: 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.
Publiceringsår
2007
Språk
Engelska
Sidor
1712-1721
Dokumenttyp
Konferensbidrag
Ämne
- Electrical Engineering, Electronic Engineering, Information Engineering
Nyckelord
- GNSS
- positioning
- multipath mitigation
Conference name
International Technical Meeting of the Institute of Navigation Satellite Division, (ION GNSS), 2007
Conference date
2007-09-25 - 2007-09-28
Conference place
Forth Worth, TX, United States
Status
Published
Forskningsgrupp
- Telecommunication Theory