BIOSONAR-INSPIRED SOURCE LOCALIZATION IN LOW SNR

Sasha Apartsin, Leon N. Cooper, Nathan Intrator

2011

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. Suboptimal 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.

References

  1. Apartsin, S. Cooper, L. N. and Intrator, N., 2010. SNRDependent Filtering for Time of Arrival Estimation in High Noise. To appear in Proc. IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP).
  2. Barankin, E. W., 1949. Locally best unbiased estimates. Ann Math. Statist., 20, pp477-501.
  3. Kay, S. M., 1993. Fundamental of Statistical Signal Processing. Prentice Hall.
  4. Kimchi, T., Reshef, M. and Terkel, J., 2005. Evidence for the use of reflected self-generated seismic waves for spatial orientation in a blind subterranean mammal. Journal of Experimental Biology, vol208, pp647-658.
  5. Liao, H. S. and Gan, L. and Wei, P., 2009. A blind SNR estimation method for radar signal. , IET international RADAR conference.
  6. McDonough, R. N., Whalen, A. D., 1995. Detection of Signals in Noise. Academic Press.
  7. Morris, A. and Ferguson, D. and Omohundro, Z., Bradley, D., Silver, D., Baker, C., Thayer, S., Whittaker, C. and Whittaker, W., 2006. Recent developments in subterranean robotics. Journal of Field Robotics, 23(1), 35-57.
  8. Pauluzzi, D. R., Beaulieu N. C., 2000. A comparison of SNR estimation techniques for the AWGN channel. IEEE Transaction on Communications. Volume 48, Issue 10, pp1681-1691.
  9. Ryan, H., 1994. Ricker, Ormsby, Klauder, Butterworth-A choice of wavelet. CSEG Recorder, Vol. 19-7.
  10. Sadler, B. M., Kozick, R. J., 2006. A Survey of Time Delay Estimation Performance Bounds. Fourth IEEE Workshop on Sensor Array and Multichannel Processing, pp.282-288.
  11. Skolnik, M. I., 1962. Introduction to Radar Systems. McGraw-Hill.
  12. Succi, G. P., Prado, G., Gampert, R. and Pedersen, T. K., 2000. Problems in Seismic detection and Tracking. Proceedings of SPIE, vol. 4040, pp165-173.
  13. Woodward, P., 1953. Probability and Information Theory, with Applications to Radar. McGraw-Hill.
  14. Van Treese, H. L., 1968. Detection, Estimation and Modulation Theory. John Wiley & Sons, Inc.
  15. Varshney, L. R., Thomas, D., 2003. Sidelobe reduction for matched filter range processing. Proceedings of IEEE Radar Conference, pp446-451.
  16. Yu, L., Neretti, N. and Intrator, N., 2006. Multiple ping sonar accuracy improvement using robust motion estimation and ping fusion. Journal of the Acoustic Society of America. Volume 119, Issue 4, pp2106- 213.
  17. Zeira A. and Schultheiss, P. M., 1994. Realizable lower bounds for time delay estimation-Part II: Threshold phenomena. IEEE Trans. Signal Processing, Volume42, Issue 5, pp1001-1007.
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Paper Citation


in Harvard Style

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


in Bibtex Style

@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},
}


in EndNote Style

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