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针对现有数据关联算法在实时性方面的不足,提出了一种2级消元数据关联算法,其特点是先根据关联判据生成与目标数量相等的候选关联集,再对候选关联集进行粗关联和细关联处理,剔除候选关联集中不满足条件的测向线,直至得到最终的关联结果.该算法无须遍历所有可能的关联组合,大幅降低了关联过程中的计算开销,并且能够有效抑制杂波的影响.仿真实验验证了该算法的实时性和准确性.
Aiming at the shortcomings of the existing data association algorithms in real-time, a two-level elimination data association algorithm is proposed, which is characterized by generating a candidate association set equal to the target quantity according to the association criterion, Association and fine association processing, and eliminate the corollary lines in the candidate correlation set that do not satisfy the conditions until the final correlation result is obtained.The algorithm does not need to traverse all possible association combinations, drastically reduces the computational overhead in the association process, and can effectively suppress miscellaneous The influence of the wave is simulated by the simulation experiment, which shows the real-time and accuracy of the algorithm.