Abstract
A summary of some recent work investigating the shape of a towed array of hydrophones is presented. Two different approaches to the problem of estimating the hydrophone positions are discussed. The first approach uses the outputs of array shape measuring sensors, such as compasses and depth sensors, as the inputs to a Kaiman Filter which recursively estimates the array shape. The second approach uses the acoustic signal received at each hydrophone in a towed array from a narrowband far-field source of opportunity. Within this approach two separate algorithms are presented. The first algorithm is an optimisation technique where a cost function, known as sharpness, is estimated so that when the estimated positions coincide with the actual positions the sharpness attains a maximum. The other acoustic algorithm discussed uses the eigenvector corresponding to the maximum eigenvalue to estimate the relative phases of the signal at each hydrophone and subsequently its position. The performance of each technique is investigated using sea trial data collected with an experimental towed array.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Gray, D.A., Anderson, B.D.O. and Bitmead, R.R. (1988) “Models for the Application of Kaiman Filtering to the Estimation of the Shape of a Towed Array”, Proceedings of the NATO Advanced Study Institute on Underwater Acoustic Data Processing, Kingston, Ontario, Canada, pp..
Riley, J.L., Gray, D.A. and Holdsworth, D.A. (1990) “Estimating the Positions of an Array of Receivers using Kaiman Filtering Techniques”, pp.
Kennedy, R.M. (1981) “Crosstrack Dynamics of a Long Cable Towed in the Ocean”, Oceans, pp. 966–970.
Bucker, H.P. (1978) “Beamforming a Towed Line Array of Unknown Shape”, J. Acoust Soc Am, 63, pp.1451–1454.
Ferguson, B.G. (1991) “Sharpness applied to the Adaptive Beamforming of Acoustic Data from a Towed Array of Unknown Shape”, J. Acoust Soc Am., 88, pp.2695–2701.
Gray, D.A. and Riley, J.L. (1990) “Maximum Likelihood Estimate and Cramer-Rao Bound for a Complex Signal Vector”, Proc. Int Symp Signal Process Appl, Australia, 1, pp.352–355.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1993 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Riley, J.L., Gray, D.A., Ferguson, B.G. (1993). Estimating the Shape of a Towed Array of Hydrophones Using Both Acoustic and Non-Acoustic Sensor Techniques. In: Moura, J.M.F., Lourtie, I.M.G. (eds) Acoustic Signal Processing for Ocean Exploration. NATO ASI Series, vol 388. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1604-6_22
Download citation
DOI: https://doi.org/10.1007/978-94-011-1604-6_22
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-4699-2
Online ISBN: 978-94-011-1604-6
eBook Packages: Springer Book Archive