Novel methods for fine-scaled positioning
Authors/Creators
- 1. The Leibniz Institute for Freshwater Ecology and Inland Fisheries
Description
Talk to be presented at the European Tracking Network (ETN) Symposium on October 13, 2026 in Copenhagen.
This repository holds a copy of the presentation along with the code and data used to create the presentation.
Abstract
Two novel models for fine-scaled positioning will be presented (i) population Monte Carlo time-of-arrival (PMC-TOA), and (ii) extended Kalman time-of-arrival (EK-TOA). PMC-TOA is a robust method shown to give good positions even in the presence of reflected transmissions, while EK-TOA provides a closed form solution for extremely fast processing of large time-of-arrival datasets. Additionally, a simple method will be shown for reporting absolute measures of positioning error which can be applied to any positioning model. Combined with YAPS, the suite of positioning methods makeup a versatile processing toolbox for fine-scale positioning.
Files
20261013_ETN_Campbell.pdf
Additional details
Related works
- Cites
- Preprint: 10.64898/2026.08.24.746702 (DOI)
- Preprint: 10.64898/2026.09.17.752304 (DOI)
- Journal article: 10.1111/2041-210X.14508 (DOI)
Dates
- Other
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2026-10-13Planned date of presentation