Active clutter reduction through fusion with passive data

Active and passive sonar systems often provide complementary information. Active systems generally provide good localization but are subject to high rates of clutter from bottom and volumetric scatterers. Passive systems generally have good resolution only in bearing and only can detect objects that emit acoustic energy. By fusing measurements from both types of systems, the passive data can be used to reduce the clutter in the active data. The result is improved target tracking, as shown in two examples, including the injection of a single target into a recorded active clutter dataset.

[1]  Brian La Cour,et al.  Bayesian passive sonar tracking in the presence of known interferers , 2009, 2009 12th International Conference on Information Fusion.

[2]  Brian R. La Cour.  Ensemble-based Bayesian detection and tracking , 2007 .

[3]  Sebastian Thrun,et al.  Probabilistic robotics , 2002, CACM.

[4]  Jason Matthew Aughenbaugh,et al.  Measurement-Guided Likelihood Sampling for Grid-Based Bayesian Tracking , 2010, J. Adv. Inf. Fusion.

[5]  Harold W. Sorenson,et al.  Recursive Bayesian estimation using piece-wise constant approximations , 1988, Autom..

[6]  C.W. Jemmott,et al.  Passive sonar target localization using a histogram filter with model-derived priors , 2008, 2008 42nd Asilomar Conference on Signals, Systems and Computers.

[7]  Neil J. Gordon,et al.  A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..

[8]  R. P. Goddard,et al.  The Sonar Simulation Toolset, Release 4.1: Science, Mathematics and Algorithms , 2005 .

[9]  David J. C. MacKay,et al.  Bayesian Interpolation , 1992, Neural Computation.

[10]  C. Gouriéroux,et al.  Non-Gaussian State-Space Modeling of Nonstationary Time Series , 2008 .

[11]  R. P. Goddard,et al.  The Sonar Simulation Toolset , 1989, Proceedings OCEANS.

[12]  Brian La Cour,et al.  Stationary priors for Bayesian target tracking , 2008, 2008 11th International Conference on Information Fusion.

[13]  Lawrence D. Stone,et al.  Bayesian Multiple Target Tracking , 1999 .

[14]  Philip M. Woodward,et al.  Probability and Information Theory with Applications to Radar , 1954 .

[15]  Y. Bar-Shalom.  Tracking and data association , 1988 .

[16]  Christopher M. Kreucher,et al.  Multitarget detection and tracking using multi-sensor passive acoustic data , 2009, 2009 IEEE Aerospace conference.

[17]  Jason Matthew Aughenbaugh,et al.  Use of prior information in active sonar tracking , 2009, 2009 12th International Conference on Information Fusion.