Deinterleaving or radar pulse separation is a very important goal in terms of radar sources for identifying and implementing electronic warfare systems. In order to separate radar pulses, parameters measured by electronic warfare receivers such as electronic warfare support measures (ESM) and electronic signals intelligence (ELINT) are used in pulse separation. This paper presents a multi-parameter improved method for separating the pulse sequence of radar signals based on time of arrival (TOA) processing with sorting the other pulse descriptor words (PDW) parameters. In the proposed method, after extracting all the pulse repetition intervals (PRIs) based on TOA, the parameters of the angle of arrival, pulse width and carrier frequency (RF) are being used in pulse sorting to separate the received interleaved pulse sequences. The sequential difference histogram (SDIF) algorithm or cumulative difference histogram (CDIF) algorithm is used to extract all pulse repetition intervals. Also, in order to separate the sequence of the received pulses from all surroundings emitters, in addition to matching the potential PRI among the TOAs of the pulses and the similarity measurement in the other parameters of the pulse sequence (pulse sorting) have been used. This proposed algorithm is implemented in the integrated and complete design for deinterleaving of the radar pulses. The proposed method by considering low-cost computing sources considers a fast and low-complexity solution that can be used for edge-enabled distributed processors in aerial radar platforms as edge devices for military/combat unmanned aerial vehicles or networked missiles. The simulation results show that our method is completely effective.

就识别和实施电子战系统的雷达源而言，去交织或雷达脉冲分离是一个非常重要的目标。为了分离雷达脉冲，在脉冲分离中使用了由电子战接收器测量的参数，例如电子战支持措施（ESM）和电子信号智能（ELINT）。本文提出了一种基于到达时间（TOA）处理并对其他脉冲描述符字（PDW）参数进行排序的雷达分离脉冲序列的多参数改进方法。在提出的方法中，在基于TOA提取所有脉冲重复间隔（PRI）之后，将到达角度，脉冲宽度和载波频率（RF）的参数用于脉冲排序，以分离接收到的交织脉冲序列。顺序差异直方图（SDIF）算法或累积差异直方图（CDIF）算法用于提取所有脉冲重复间隔。另外，为了从所有周围的发射器中分离出接收到的脉冲的序列，除了使脉冲的TOA之间的电位PRI匹配，还使用了脉冲序列的其他参数中的相似度测量（脉冲分类）。所提出的算法在用于雷达脉冲解交织的完整集成设计中得以实现。所提出的方法通过考虑低成本的计算源，考虑了一种快速，低复杂度的解决方案，该解决方案可用于飞机雷达平台中启用边缘的分布式处理器，作为军事/作战无人机或网络导弹的边缘设备。