Inter-sensor propagation delay estimation using sources of opportunity

Abstract : Propagation delays are intensively used for Structural Health Monitoring or Sensor Network Localization. In this paper, we study the performances of acoustic propagation delay estimation between two sensors, using sources of opportunity only. Such sources are defined as being uncontrolled by the user (activation time, location, spectral content in time and space), thus preventing the direct estimation with classical active approaches, such as TDOA, RSSI and AOA. Observation models are extended from the literature to account for the spectral characteristics of the sources in this passive context and we show how time-filtered sources of opportunity impact the retrieval of the propagation delay between two sensors. A geometrical analogy is then proposed that leads to a lower bound on the variance of the propagation delay estimation that accounts for both the temporal and the spatial properties of the sources field.
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Signal Processing, Elsevier, 2016, 118 (January), pp.248-258. <10.1016/j.sigpro.2015.07.006>
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https://hal.archives-ouvertes.fr/hal-01203413
Contributeur : Olivier Michel <>
Soumis le : mercredi 23 septembre 2015 - 09:03:16
Dernière modification le : vendredi 15 septembre 2017 - 15:07:59

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Remy Vincent, Carmona Mikael, Olivier Michel, Jean-Louis Lacoume. Inter-sensor propagation delay estimation using sources of opportunity. Signal Processing, Elsevier, 2016, 118 (January), pp.248-258. <10.1016/j.sigpro.2015.07.006>. <hal-01203413>

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