Radar data fusion based on clustering measurements
Xu Yu · Systems engineering and electronics · 2004
The feature of the measurements of the same target at the same time makes it possible to use clustering technique to solve data fusion problem. This paper uses an improved K-nearest neighbor algorithm to cluster the data from radars and intergrates the centers of the clusters with premeasurements, then estimates the state of targets with Kalman filter, thus realize the data fusion. The result of the experiment shows that the method is effective.