A Heterogeneous Sensors Track-to-Track Correlation Algorithm Based on Fuzzy Numbers Similarity Degree

In the distributed multi-sensor 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 donpsilat possess the consistent measurement space, this paper presents a heterogeneous sensors track correlation algorithm based on fuzzy number similarity degree. In this algorithm, each trackpsilas bearing information is considered as a discrete function of time, after performed temporal and spatial alignment, synchronizing the asynchronous bearing information of the track come from each sensor to the same reference time scale on the same coordinate system , the fuzzy number of each bearing information is calculated by using triangular membership function, the similarity degree between every two fuzzy numbers is calculated, then ,the similarity degreepsilas matrix of fuzzy number of bearing information is formed and the track correlation pairs are determined based on the similarity degreepsilas matrix .The results of simulation experiment show that this algorithm can effectively accomplish track-to-track correlation for the heterogeneous sensors consisting of radar and infrared sensor.