飞行流量增加及航迹的不确定性加大了目标间冲突的可能性，针对目标间冲突检测与解脱时大量无关联监视目标造成冗余运算问题，提出一种冲突检测前预处理方法。将ADS-B IN监视范围内的目标规划到26个区域，每一个区域中依据设定的专门规则判别目标与本机的相关性,关联目标将参与冲突检测等后续运算，无关联目标的后续处理则被阻塞。算法能有效减少本机周围交通态势安全评估时的运算量，坚持宁虚警、不漏警原则，从而确保安全为首要目标。最后通过蒙特卡罗实验检验了算法各项性能。实验表明,随机产生的30个目标中，不少于30%的目标被判定为无冲突关联而被阻塞，算法能有效检测目标间的相关性。

The probability of flight conflict is increased because of the increasing of flight flow and uncertainty of flight route.Considering the problem of redundant operation caused by a large number of non-related objects,a preprocessing algorithm for use before conflict detection was proposed.The objects within the surveillance scope of ADS-B IN were divided into 26 different regions,and the correlation of the objects with the own aircraft was distinguished by the specialized rule of each region.Then the correlated objects were further processed,while the uncorrelated ones were blocked.Therefore,the calculation burden for estimation of surrounding traffic situation safety was decreased.The processing principle was “safety the first,” and “better false alarm,never missed alarm”.Finally,the necessity and validity of the proposed algorithm were examined by using Monte Carlo experiment.The simulation results showed that not less than 30% of 30 random objects were blocked.The proposed algorithm is effective and accurate for detecting the correlation between targets.