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Dynamic Multipath Estimation by Sequential Monte Carlo Methods

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Author

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.

Publishing year

2007

Language

English

Pages

1712-1721

Document type

Conference paper

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • 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

Research group

  • Telecommunication Theory