Optimal posterior density approximation for bearings-only tracking
Paper in proceeding, 2012

The optimal homotopy filter is a nonlinear filtering approximation which seeks an optimal parameterisation for the posterior. The search for an optimal parameterisation is performed by constructing a homotopy between the prior and posterior and solving the resulting ordinary differential equation. Here the optimal homotopy filter is applied to the problem of bearings-only tracking. A simulation analysis shows that the performance of the optimal homotopy filter compares favourably to established algorithms.

bearings-only tracking

Nonlinear filtering

Bayesian estimation

Author

M. Morelande

University of Melbourne

Lennart Svensson

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

J. Hagmar

Fraunhofer-Chalmers Centre

Mats Jirstrand

Fraunhofer-Chalmers Centre

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

15206149 (ISSN)

3585-3588 6288691
978-1-4673-0046-9 (ISBN)

Subject Categories

Signal Processing

DOI

10.1109/ICASSP.2012.6288691

ISBN

978-1-4673-0046-9

More information

Latest update

3/20/2018