Inter-sensor propagation delay estimation using sources of opportunity

Autor: Jean-Louis Lacoume, Rémy Vincent, Olivier Michel, Mikael Carmona
Přispěvatelé: Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information (CEA-LETI), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), GIPSA - Communication Information and Complex Systems (GIPSA-CICS), Département Images et Signal (GIPSA-DIS), Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), GIPSA - Signal Images Physique (GIPSA-SIGMAPHY), Collaboration avec CEA - LETI/ DCIS
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Computer science
FOS: Physical sciences
Context (language use)
02 engineering and technology
Physics - Classical Physics
010502 geochemistry & geophysics
01 natural sciences
Upper and lower bounds
symbols.namesake
Green׳s correlation
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
Ward Identity
0202 electrical engineering
electronic engineering
information engineering
Electronic engineering
Electrical and Electronic Engineering
0105 earth and related environmental sciences
Classical Physics (physics.class-ph)
020206 networking & telecommunications
Propagation delay
Function (mathematics)
passive estimation
Green׳s function
Multilateration
Control and Systems Engineering
Green's function
Signal Processing
symbols
Computer Vision and Pattern Recognition
Structural health monitoring
estimation bounds
Wireless sensor network
Software
Zdroj: Signal Processing
Signal Processing, Elsevier, 2016, 118 (January), pp.248-258. ⟨10.1016/j.sigpro.2015.07.006⟩
Signal Processing, 2016, 118 (January), pp.248-258. ⟨10.1016/j.sigpro.2015.07.006⟩
ISSN: 0165-1684
1872-7557
Popis: 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. HighlightsThe Ward Identity to account for the temporal property of the source field.We derive an observation model of Green's function and validate it with experiments.We derive an observation model of Green's correlation and validate it with simulations.Estimation and detection issues are presented for the passive estimation context.Performances are derived to estimate the propagation delay in a passive context.
Databáze: OpenAIRE
Externí odkaz: