基于时序匹配及变长滑窗的雷达信号分选

信号分选是雷达侦察技术与信号处理技术中的关键步骤之一，但常规分选算法运算量大、识别耗时长。同时，在信号丢失严重或者脉冲密度大的情况下易出现增批、漏批问题。针对上述问题，本文提出一种基于时序匹配及变长滑窗的信号分选方法，首先利用载频和脉宽进行粗筛选，然后在时域参数上抽取与雷达参数模板匹配的脉冲序列，匹配的时间窗口根据两条脉冲之间的时间差和雷达参数模板的PRI动态确定。在此基础上，本文提出一种新的雷达信号分选处理流程：将待分选脉冲列分段，对每一段分别进行常规分选和本文所述方法。仿真实验表明，本文算法具有准确率高、耗时短的优点，新的分选流程能够有效弥补常规分选算法的不足。

New Radar Signal Sorting Based on Timing Matching and Slipping Window of Variable Length

Signal sorting is one of the key steps in radar reconnaissance technology and signal processing technology. However, the conventional sorting algorithm has a large amount of calculation and takes a long time to identify. At the same time, in the situation of severe signal loss or large pulse density, it is going to increase targets or miss targets. Aiming at the above problems, this paper proposes a radar signal sorting method based on timing matching and variable-length sliding window. This method uses the radio frequency and pulse width for rough screening, and then extracts pulse sequences which match the radar parameter template on the time domain parameters. The matching time window is determined dynamically based on the time difference between two pulses and the PRI of the radar template. On this basis, this paper proposes a new radar signal sorting process: divide input pulse into segments, and then each segment is sorted by the general sorting method and the proposed method. Simulation experiments show that the proposed algorithm in this paper has the advantages of high accuracy and short time-consuming, and the new sorting process can effectively make up for the shortcomings of conventional sorting algorithms.