Time-of-flight estimation based on covariance models

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

We address the problem of estimating the time-of-flight (ToF) of a waveform that is disturbed heavily by additional reflections from nearby objects. These additional reflections cause interference patterns that are difficult to predict. The introduction of a model for the reflection in terms of a non-stationary auto-covariance function leads to a new estimator for the ToF of an acoustic tone burst. This estimator is a generalization of the well known matched filter. In many practical circumstances, for instance beacon-based position estimation in indoor situations, lack of knowledge of the additional reflections can lead to large estimation errors. Experiments show that the application of the new estimator can reduce these errors by a factor of about four. The cost of this improvement is an increase in computational complexity by a factor of about seven.
Original languageUndefined
Pages (from-to)1295-1304
Number of pages10
JournalMeasurement science and technology
Volume14
Issue number8
DOIs
Publication statusPublished - Jul 2003

Keywords

  • reflection model
  • EWI-17482
  • Estimation
  • Ultrasonic position measurement
  • estimation reflection model
  • TOF
  • time of flight
  • METIS-213871
  • IR-46017

Cite this

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title = "Time-of-flight estimation based on covariance models",
abstract = "We address the problem of estimating the time-of-flight (ToF) of a waveform that is disturbed heavily by additional reflections from nearby objects. These additional reflections cause interference patterns that are difficult to predict. The introduction of a model for the reflection in terms of a non-stationary auto-covariance function leads to a new estimator for the ToF of an acoustic tone burst. This estimator is a generalization of the well known matched filter. In many practical circumstances, for instance beacon-based position estimation in indoor situations, lack of knowledge of the additional reflections can lead to large estimation errors. Experiments show that the application of the new estimator can reduce these errors by a factor of about four. The cost of this improvement is an increase in computational complexity by a factor of about seven.",
keywords = "reflection model, EWI-17482, Estimation, Ultrasonic position measurement, estimation reflection model, TOF, time of flight, METIS-213871, IR-46017",
author = "{van der Heijden}, Ferdinand and G. Tuquerres and Regtien, {Paulus P.L.}",
year = "2003",
month = "7",
doi = "10.1088/0957-0233/14/8/315",
language = "Undefined",
volume = "14",
pages = "1295--1304",
journal = "Measurement science and technology",
issn = "0957-0233",
publisher = "IOP Publishing Ltd.",
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Time-of-flight estimation based on covariance models. / van der Heijden, Ferdinand; Tuquerres, G.; Regtien, Paulus P.L.

In: Measurement science and technology, Vol. 14, No. 8, 07.2003, p. 1295-1304.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Time-of-flight estimation based on covariance models

AU - van der Heijden, Ferdinand

AU - Tuquerres, G.

AU - Regtien, Paulus P.L.

PY - 2003/7

Y1 - 2003/7

N2 - We address the problem of estimating the time-of-flight (ToF) of a waveform that is disturbed heavily by additional reflections from nearby objects. These additional reflections cause interference patterns that are difficult to predict. The introduction of a model for the reflection in terms of a non-stationary auto-covariance function leads to a new estimator for the ToF of an acoustic tone burst. This estimator is a generalization of the well known matched filter. In many practical circumstances, for instance beacon-based position estimation in indoor situations, lack of knowledge of the additional reflections can lead to large estimation errors. Experiments show that the application of the new estimator can reduce these errors by a factor of about four. The cost of this improvement is an increase in computational complexity by a factor of about seven.

AB - We address the problem of estimating the time-of-flight (ToF) of a waveform that is disturbed heavily by additional reflections from nearby objects. These additional reflections cause interference patterns that are difficult to predict. The introduction of a model for the reflection in terms of a non-stationary auto-covariance function leads to a new estimator for the ToF of an acoustic tone burst. This estimator is a generalization of the well known matched filter. In many practical circumstances, for instance beacon-based position estimation in indoor situations, lack of knowledge of the additional reflections can lead to large estimation errors. Experiments show that the application of the new estimator can reduce these errors by a factor of about four. The cost of this improvement is an increase in computational complexity by a factor of about seven.

KW - reflection model

KW - EWI-17482

KW - Estimation

KW - Ultrasonic position measurement

KW - estimation reflection model

KW - TOF

KW - time of flight

KW - METIS-213871

KW - IR-46017

U2 - 10.1088/0957-0233/14/8/315

DO - 10.1088/0957-0233/14/8/315

M3 - Article

VL - 14

SP - 1295

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JO - Measurement science and technology

JF - Measurement science and technology

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