电子支援侦察系统具有对战场环境中活动雷达进行跟踪、监视的功能,上述功能是通过将雷达脉冲序列与活动雷达库中的记录进行关联实现的。文中提出了一种基于生物信息学中动态规划思想的关联算法,该算法通过提取雷达脉冲序列脉冲重复间隔变化规律,并将此作为识别特征对雷达批数据进行关联,仿真说明了该算法即使在有脉冲丢失和干扰脉冲的情况下仍具有较好的处理效果。

Electronic support measures system executes the function of tracking and monitoring the active radars in the battlefield environment, such function is realized by associating the input radar pulse sequences with the records stored in the active radar database. This article puts forward an association algorithm based on the dynamic programming theory in bioinformatics. By extracting the pulse repetition interval switching rules and making it serve as a classification characteristic, the algorithm successfully makes it possible to associate the radar pulse trains with the active radar database. Simulation results show that the algorithm can work robustly even in the presence of pulses loss and interference pulses.