Optimal Posterior Density Approximation for Bearings-Only Tracking

M. R. Morelande, L. Svensson, J. Hagmar, and M. Jirstrand. 37th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Kyoto, Japan, March 25-30, 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..

Authors and Affiliations

  • M. R. Morelande, Dept. of Electrical and Electronic Engineering, The University of Melbourne
  • L. Svensson, Dept. of Signals and Systems, Chalmers University of Technology
  • J. Hagmar, Dept. of System Biology and Bioimaging, Fraunhofer-Chalmers Centre
  • M. Jirstrand, Dept. of System Biology and Bioimaging, Fraunhofer-Chalmers Centre



Photo credits: Nic McPhee