The invention discloses a weighted nearest-neighbor
data association method for a centralized multi-
radar data processing process. The scores of seven parts including a gate, a course angle /
angular velocity, attribute similarity, accelerated speed, response times,
vertical distance and track status are associated, and the scores of the seven parts are subjected to the calculation of trace point and track relevancy based on the weighted
scoring algorithm. In this way, the updated value of a final
score is obtained. During the
score associating process, after the calculation of trace point and track relevancy, the smaller the updated value of the final
score of the associated values, the stronger the matching relationship. When the updated value of the final score of the associated values is larger than 0x9FFFF, the matching requirement is not met. In the condition of limited hardware resources and high requirement on real-time performance, the above data associated
processing method is relatively efficient and accurate. Meanwhile, on the basis of an original nearest-neighbor associated
processing method, other associated reference factors are introduced at the same time. Therefore, an
optimal matching group between trace points and the track can be gradually found out.