Time-of-flight estimation based on covariance models
| Autor: | Ferdinand van der Heijden, G. Tuquerres, Paul Regtien |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2003 |
| Předmět: |
Computational complexity theory
Computer science business.industry Generalization Applied Mathematics Matched filter Time-of-flight Estimator Time-of-flight estimation Covariance Ultrasonic position measurement Interference (wave propagation) Optics Position (vector) Waveform Reflection model business Instrumentation Engineering (miscellaneous) Algorithm Estimation |
| Zdroj: | Measurement science and technology, 14(8), 1295-1304. IOP Publishing Ltd. |
| ISSN: | 0957-0233 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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