Title :
Optimal posterior density approximation for bearings-only tracking
Author :
Morelande, Mark R. ; Svensson, Lennart ; Hagmar, Jonas ; Jirstrand, Mats
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia
Abstract :
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.
Keywords :
approximation theory; differential equations; nonlinear filters; target tracking; bearings-only tracking; nonlinear filtering approximation; optimal homotopy filter; optimal parameterisation; optimal posterior density approximation; ordinary differential equation; simulation analysis; Algorithm design and analysis; Approximation algorithms; Approximation methods; Differential equations; Mathematical model; Observers; Vectors; Bayesian estimation; Nonlinear filtering; bearings-only tracking;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6288691