Adaptive Techniques in Scalar Tracking Loops with Direct-State Kalman-Filter

Iñigo Cortés, Pablo Marín, J. Rossouw Van Der Merwe, Elena Simona Lohan, Jari Nurmi, Wolfgang Felber

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

This paper evaluates the implementation of an adaptive technique for direct-state Kalman-filter (DSKF)-based scalar tracking loops used in modern digital global navigation satellite system (GNSS) receivers. Under the assumption of a well-known Gaussian distributed model of the states and the measurements, the DSKF adapts its coefficients optimally to achieve the minimum mean square error (MMSE). In time-varying scenarios, the measurements' distribution changes over time due to noise, signal dynamics, multipath, and non-line-of-sight effects. In this kind of scenarios, it is not easy to find a suitable model, and the DSKF tends to be a suboptimal solution. This study introduces a method to adapt the noise co-variances of the DSKF by using the loop-bandwidth control algorithm (LBCA). The LBCA adapts the loop bandwidth of the DSKF based on the statistics of the tracking channel. The presented technique is compared with the Cramer-Rao bound (CRB)-based DSKF, which adjusts the measurement noise covariance depending on the CRB. These two adaptive DSKFs are compared with the LBCA-based standard scalar tracking loop (STL). The LBCA-based DSKF, the CRB-based DSKF, and the LBCA-based standard STL are implemented in an open software interface GNSS hardware receiver. For each implementation, the receiver is evaluated in simulated scenarios with different dynamics and noise cases. The results confirm that the LBCA-based DSKF exhibits superior dynamic tracking performance than the CRB-based DSKF. Moreover, the LBCA-based standard STL still shows the best dynamic tracking performance, while having the lowest complexity.

Original languageEnglish
Title of host publication2021 International Conference on Localization and GNSS, ICL-GNSS 2021 - Proceedings
EditorsJari Nurmi, Elena-Simona Lohan, Joaquin Torres-Sospedra, Heidi Kuusniemi, Aleksandr Ometov
PublisherIEEE
Number of pages7
ISBN (Electronic)9781728196442
ISBN (Print)9781728196459
DOIs
Publication statusPublished - 2021
Publication typeA4 Article in a conference publication
EventInternational Conference on Localization and GNSS - Tampere, Finland
Duration: 1 Jun 20213 Jun 2021

Publication series

NameInternational Conference on Localization and GNSS
ISSN (Print)2325-0747
ISSN (Electronic)2325-0771

Conference

ConferenceInternational Conference on Localization and GNSS
Country/TerritoryFinland
CityTampere
Period1/06/213/06/21

Keywords

  • adaptive scalar tracking loop (A-STL)
  • direct-state Kalman-filter (DSKF)
  • Global navigation satellite system (GNSS)
  • Kalman filtering (KF)
  • loop-bandwidth control algorithm (LBCA)

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Aerospace Engineering
  • Control and Optimization

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