On the Sequential Track Correlation Algorithm in a Multisensor Data Fusion System

摘要

In this paper, sequential track correlation algorithm in a multisensor data fusion system is presented. It is well known that the state estimates obtained from a Kalman filter have correlated errors in time. While the innovations are white, this does not