The probabilistic data association (PDA) algorithm for tracking in clutter contains a stochastic (data-dependent) Riccati equation for updating the estimation error covariance matrix. This note details a simple analytic approximation to the stochastic Riccati equation that allows precomputation of the estimation error covariance matrices. The potential of the approximation for performance analysis of PDA-based tracking algorithm is demonstrated using a simple example.
A contribution to performance prediction for probabilistic data association tracking filters
IEEE Transactions on Aerospace and Electronic Systems ; 32 , 3 ; 1143-1148
01.07.1996
1506859 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
A Contribution to Performance Prediction for Probabilistic Data Association Tracking Filters
Online Contents | 1996
|Feature-based probabilistic data association and tracking
Tema Archiv | 2010
|Feature-based probabilistic data association and tracking
Kraftfahrwesen | 2010
|Probabilistic Data Association Methods in Visual Tracking of Groups
British Library Conference Proceedings | 2004
|