English

Multiple Offsets Multilateration: a new paradigm for sensor network calibration with unsynchronized reference nodes

Sound 2022-05-24 v1 Audio and Speech Processing Signal Processing

Abstract

Positioning using wave signal measurements is used in several applications, such as GPS systems, structure from sound and Wifi based positioning. Mathematically, such problems require the computation of the positions of receivers and/or transmitters as well as time offsets if the devices are unsynchronized. In this paper, we expand the previous state-of-the-art on positioning formulations by introducing Multiple Offsets Multilateration (MOM), a new mathematical framework to compute the receivers positions with pseudoranges from unsynchronized reference transmitters at known positions. This could be applied in several scenarios, for example structure from sound and positioning with LEO satellites. We mathematically describe MOM, determining how many receivers and transmitters are needed for the network to be solvable, a study on the number of possible distinct solutions is presented and stable solvers based on homotopy continuation are derived. The solvers are shown to be efficient and robust to noise both for synthetic and real audio data.

Keywords

Cite

@article{arxiv.2205.11299,
  title  = {Multiple Offsets Multilateration: a new paradigm for sensor network calibration with unsynchronized reference nodes},
  author = {Luca Ferranti and Kalle Åström and Magnus Oskarsson and Jani Boutellier and Juho Kannala},
  journal= {arXiv preprint arXiv:2205.11299},
  year   = {2022}
}

Comments

accepted to ICASSP2022

R2 v1 2026-06-24T11:25:39.814Z