Heterogeneous Sensors Track-to-Track Correlation Algorithm Based on Gray Correlative Degree

In the distributed multi-sensor information fusion system, the track-to-track correlation is one of the key techniques and is also the precondition for implementing track fusion, and the correctness of correlation judged would directly impact on the performance of the whole fusion system. For the information fusion system composed of 2-D radar and infrared sensor, the problem of the track-to-track correlation is sophisticated because the types of the sensors are different and both of them don¿t possess the consistent measurement space, this paper presents a heterogeneous sensors track correlation algorithm based on the grey correlation analysis of grey system theory. In this algorithm, each track¿s azimuth information is considered as a discrete function of time, the grey correlation analysis for multi-target track¿s azimuth information is performed by using the B-mode correlation degree, the matrix of grey correlation degree of the B-mode track is calculated and the track correlation pairs are determined. The results of simulation experiment show that this algorithm can effectively accomplish track correlation for the heterogeneous sensors consisting of radar and infrared sensor.