雷达与IFF背靠背配置时的关联算法

Algorithm of radar-IFF correlation in back-to-back configuration

对于雷达与IFF(Identification Friend or Foe)背靠背配置时的关联问题,提出了关联算法.主要包括雷达航迹与IFF点迹的时间对准、判别函数构造、关联判决准则选择和关联判决门限设置等,并讨论了多义性问题.4种典型情况下的仿真结果表明,目标间隔与目标到雷达距离之比越大时,关联效果越好;目标交叉时,离交叉点越近,关联效果越差;目标机动阶段时间对准采用雷达航迹平滑的关联效果优于航迹预测,其它情况下采用两种时间对准方法的关联效果相近;在NED(North EastDown)坐标系和极坐标系下的关联效果相近;n/m逻辑应选择2/3或3/4,以同时保证对友方目标的漏关联概率和不明目标的误关联概率都较低.

To solve the problem of radar-IFF correlation in back-to-back configuration, an algorithm was discussed, mainly including time-alignment between radar tracks and identification friend or foe（IFF） points, construction of discriminate functions, choice of the decision-making rule, and computation formula of decision thresholds. Moreover, the problem of ambiguity was also discussed. Simulation results in four typical conditions show that, with the greater ratio of target interval to range from target to radar, the better performance is; when it comes to target cross, the closer to the crossing, the worse the correlation is; when target maneuvering, time registration realized by track smoothing better than track predicting, while, in other conditions, the correlation results produced by these two methods are similar. Moreover, the correlation performance obtained in north east down（NED） coordinate system is almost the same as that in polar coordinate system. There, n/ m logic should be chosen as 2/3 or 3/4 in order to promise both the missing correlation probability of friendly target and the false correlation probability of unknown target are low.