An Improved Track Association and Fusion Method

In order to reduce the influence of complex measurement noise, an improved track association fusion method was proposed. The method took into account the nonzero system error of the position parameters, relaxed the threshold of the position component association test, increased the association test of the first difference of the position parameter, and formed a position-velocity association test. At the same time, considering the influence of the gross error caused by the complex electromagnetic environment, the method applied the robust statistics to the related processes, such as distributed filtering, track association and weighted fusion, and obtained the final track association fusion method. The test of typical measured data showed that the proposed method had strong practicability.