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Stochastic Analysis of Time-Difference and Doppler Estimates for Audio Signals

  • Gabrielle Flood
  • Anders Heyden
  • Kalle Åström
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11351)

Abstract

Pairwise comparison of sound and radio signals can be used to estimate the distance between two units that send and receive signals. In a similar way it is possible to estimate differences of distances by correlating two received signals. There are essentially two groups of such methods, namely methods that are robust to noise and reverberation, but give limited precision and sub-sample refinements that are more sensitive to noise, but also give higher precision when they are initialized close to the real translation. In this paper, we present stochastic models that can explain the precision limits of such sub-sample time-difference estimates. Using these models new methods are provided for precise estimates of time-differences as well as Doppler effects. The developed methods are evaluated and verified on both synthetic and real data.

Keywords

Time-difference of arrival Sub-sample methods Doppler effect Uncertainty measure 

Notes

Acknowledgements

This work is supported by the strategic research projects ELLIIT and eSSENCE, Swedish Foundation for Strategic Research project “Semantic Mapping and Visual Navigation for Smart Robots” (grant no. RIT15-0038) and Wallenberg Autonomous Systems and Software Program (WASP).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Gabrielle Flood
    • 1
  • Anders Heyden
    • 1
  • Kalle Åström
    • 1
  1. 1.Centre for Mathematical SciencesLund UniversityLundSweden

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