Motion Parameter Estimation via Dopplerlet-Transform-Based Matched Field Processing

This work presents a matched field processing (MFP) algorithm based on Dopplerlet transform for estimating the motion parameters of a sound source moving along a straight line and with a constant speed by using a piecewise strategy, which can significantly reduce the computational burden. Monte Carlo simulation results and an experimental result are presented to verify the effectiveness of the algorithm advocated.

Authors:

• Hongyan Dai

Keywords:

• matched field processing; Dopplerlet transform; motion parameter estimation; piecewise strategy

References:

[1] H. P. Bucker, "Use of calculated sound fields and matched field detection
to locate sound sources in shallow water," J. Acoust. Soc. Am., vol. 59,
pp. 368-373, 1976.
[2] Michael J. Wilmut, John M. Ozard, Kyle OKeefe, and Martin Musil,
" A Piecewise Matched-Field Tracking Algorithm," IEEE J. Oceanic
Engineering, vol. 23, no. 3, pp. 167-173, 1998.
[3] H. Zou, Y. Chen, J. Zhu, Q. Dai, G. Wu, and Y. Li, "Steady-motionbased
Dopplerlet transform: Application to the estimation of range and
speed of a moving sound source," IEEE J. Oceanic Engineering, vol.
29, no. 3, pp. 887-905, 2004.
[4] S. Aravindan, N. Ramachandran, and Prabhakar S. Naidu, "Fast Matched
Field Processing," IEEE J. Oceanic Engineering, vol. 18, no. 1, pp. 1-5,
1993.
[5] Zoi-Heleni Michalopoulou, Xiaoqun Ma, Michele Picarelli, and Urmi
Ghosh-Dastidar, " Fast Matching Methods for Inversion with Underwater
Sound," IEEE J. Oceanic Engineering, vol. 1, pp. 647-651, 2000.