Track association and track fusion with nondeterministic target dynamics
- 7 August 2002
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Aerospace and Electronic Systems
- Vol. 38 (2) , 659-668
- https://doi.org/10.1109/taes.2002.1008994
Abstract
Representative track fusion algorithms and track association metrics are quantitatively compared using a simple linear-Gaussian-Poisson model, under various degrees of nondeterministicity of the target dynamics, i.e., process noises, and of the initial condition uncertainty. Track fusion algorithms are compared using an analytical method, while track association metrics are evaluated by Monte Carlo simulations.Keywords
This publication has 17 references indexed in Scilit:
- Performance evaluation of track fusion with information matrix filterIEEE Transactions on Aerospace and Electronic Systems, 2002
- Precision large scale air traffic surveillance using IMM/assignment estimatorsIEEE Transactions on Aerospace and Electronic Systems, 1999
- Data fusion of decentralized local tracker outputsIEEE Transactions on Aerospace and Electronic Systems, 1994
- Comparison of two-sensor tracking methods based on state vector fusion and measurement fusionIEEE Transactions on Aerospace and Electronic Systems, 1988
- Combining and updating of local estimates and regional maps along sets of one-dimensional tracksIEEE Transactions on Automatic Control, 1982
- On the track-to-track correlation problemIEEE Transactions on Automatic Control, 1981
- An algorithm for tracking multiple targetsIEEE Transactions on Automatic Control, 1979
- Computation and transmission requirements for a decentralized linear-quadratic-Gaussian control problemIEEE Transactions on Automatic Control, 1979
- A tutorial introduction to estimation and filteringIEEE Transactions on Automatic Control, 1971
- Computer control of multiple site track correlationAutomatica, 1971