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Dynamic Multipath Estimation by Sequential Monte Carlo Methods

Lentmaier, Michael LU ; Krach, Bernhard and Thiasiriphet, Thanawat (2007) International Technical Meeting of the Institute of Navigation Satellite Division, (ION GNSS), 2007 p.1712-1721
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.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
published
subject
keywords
GNSS, positioning, multipath mitigation
pages
1712 - 1721
conference name
International Technical Meeting of the Institute of Navigation Satellite Division, (ION GNSS), 2007
external identifiers
  • scopus:58449134194
language
English
LU publication?
no
id
06064b18-b8da-4d35-8692-ce7bcd58cc3d (old id 3731411)
date added to LUP
2013-04-26 14:08:06
date last changed
2017-04-30 17:01:12
@misc{06064b18-b8da-4d35-8692-ce7bcd58cc3d,
  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.},
  author       = {Lentmaier, Michael and Krach, Bernhard and Thiasiriphet, Thanawat},
  keyword      = {GNSS,positioning,multipath mitigation},
  language     = {eng},
  pages        = {1712--1721},
  title        = {Dynamic Multipath Estimation by Sequential Monte Carlo Methods},
  year         = {2007},
}