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Cited by 38Direction-of-Arrival Estimation TechniquesIndoor and Outdoor Localization TechnologiesGNSS positioning and interference

A Pseudo Maximum likelihood approach to position estimation in dynamic multipath environments

Fascista, Alessio, Coluccia, Angelo, Ricci, Giuseppe·2021·Signal Processing
DOI 10.1016/j.sigpro.2020.107907
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  • In mobile robots and automatically guided vehicles, accurate self-localisation in various environments is a basis for further trajectory planning and optimisation.

    “In mobile robots and automatically guided vehicles (AGV), accurate self-localisation in various environments [80,81] is a basis for further trajectory planning and optimisation.”

    From Advanced Applications of Industrial Robotics: New Trends and Possibilities (2021) · cites this paper as [80]

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Authors
Fascista, A., Coluccia, A., & Ricci, G.
Affiliations
University of Salento (IT)
Corresponding author
Fascista, Alessio
ORCID
Venue
Signal Processing
Publisher
Elsevier BV
Published
2021-04
Volume
181
Pages
107907
ISSN
0165-1684 (ISSN-L)
DOI
10.1016/j.sigpro.2020.107907
OpenAlex
W3107532004
Cited by
38
References
0
Citations by year
2025: 5 · 2024: 2 · 2023: 11 · 2022: 9 · 2021: 11
FWCI
4.08
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Signal Processing (publishedVersion)
  • AIRUS (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Signal Processing › Direction-of-Arrival Estimation Techniques
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Indoor and Outdoor Localization Technologies
  • Physical Sciences › Engineering › Aerospace Engineering › GNSS positioning and interference
Keywords
direct position estimation, maximum likelihood estimation, quasi-maximum likelihood estimation, multi-antenna receivers, angle of arrival estimation, non-line-of-sight paths, adaptive beamforming, coherent integration, parameter mismatch robustness

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