Generalized Correlation of Multi-Target Track Data
- 1 November 1975
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Aerospace and Electronic Systems
- Vol. AES-11 (6) , 1207-1217
- https://doi.org/10.1109/taes.1975.308178
Abstract
A general expression based upon a maximum likelihood approach is derived for the optimal association and correlation of observations into tracks. Main features of the approach are the definition of a score function and a unified approach to track initiation, confirmation, gating and deletion logic. Simplifications are made to derive rules for suboptimal sequential processing and this sequential method is shown through simulation to give improved performance wver a more standard approach. Further applications are indicated.Keywords
This publication has 6 references indexed in Scilit:
- Tracking in a cluttered environment with probabilistic data associationAutomatica, 1975
- Derivation and evaluation of improved tracking filter for use in dense multitarget environmentsIEEE Transactions on Information Theory, 1974
- Optical-image recognition for experiments in the track chambers of high-energy physicsProceedings of the IEEE, 1972
- An efficient suboptimal decision procedure for associating sensor data with stored tracks in real-time surveillance systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1971
- Estimating Optimal Tracking Filter Performance for Manned Maneuvering TargetsIEEE Transactions on Aerospace and Electronic Systems, 1970
- An Optimal Data Association Problem in Surveillance TheoryIEEE Transactions on Military Electronics, 1964