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Authors: Sasha Apartsin 1 ; Leon N. Cooper 2 and Nathan Intrator 1

Affiliations: 1 Tel-Aviv University, Israel ; 2 Brown Univeristy, United States

ISBN: 978-989-8425-35-5

Keyword(s): Biosonar, Underground exploration, Threshold effect, Source localization, Time of arrival.

Related Ontology Subjects/Areas/Topics: Acoustic Signal Processing ; Biomedical Engineering ; Biomedical Signal Processing ; Informatics in Control, Automation and Robotics ; Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics ; Signal Processing, Sensors, Systems Modeling and Control ; Time and Frequency Response ; Time-Frequency Analysis

Abstract: Some mammals use sound signals for communications and navigation in the air (bats) or underwater (dolphins). Recent biological discovery shows that blind mole rat is capable of detecting and avoiding underground obstacles using reflection from seismic signals. Such a remarkable capacity relies on the ability to localize the source of the reflection with high accuracy and in very low Signal to Noise Ratio (SNR) conditions. The standard methods for source localization are usually based on Time of Arrival (ToA) estimation obtained by the correlation of received signal with a matched filter. This approach suffers from rapid deterioration in the accuracy as SNR level falls below certain threshold value: the phenomenon known in the Radar Theory as a “threshold effect”. In this paper we describe biosonar-inspired method for ToA estimation and 2D source localization based on the fusion of the measurements from biased estimators which are obtained using a family of unmatched filters. Suboptima l but not perfectly correlated estimators are combined together to produce a robust estimator for ToA and 2D source position which outperforms standard matched filter-based estimator in high noise. The proposed method can be applied for mapping of underground instalments using low power infrasound pulses. (More)

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Paper citation in several formats:
Apartsin, S.; Cooper, L. and Intrator, N. (2011). BIOSONAR-INSPIRED SOURCE LOCALIZATION IN LOW SNR.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011) ISBN 978-989-8425-35-5, pages 399-404. DOI: 10.5220/0003126803990404

@conference{biosignals11,
author={Sasha Apartsin. and Leon N. Cooper. and Nathan Intrator.},
title={BIOSONAR-INSPIRED SOURCE LOCALIZATION IN LOW SNR},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)},
year={2011},
pages={399-404},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003126803990404},
isbn={978-989-8425-35-5},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)
TI - BIOSONAR-INSPIRED SOURCE LOCALIZATION IN LOW SNR
SN - 978-989-8425-35-5
AU - Apartsin, S.
AU - Cooper, L.
AU - Intrator, N.
PY - 2011
SP - 399
EP - 404
DO - 10.5220/0003126803990404

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