基于截距分析的改进雷达信号分选算法

Improved algorithm for radar signal sorting based on intercept analysis

摘要:

常用的雷达分选算法易出现脉冲重复间隔谐波和同部雷达信号脉冲序列断裂的问题，鉴于此提出了一种基于脉冲到达时间拟合直线截距分析的改进雷达信号分选算法。该算法通过对到达时间拟合直线截距的分析，判断出上述2种情况，整合相应脉冲序列，从而得到正确的分选结果。到达时间截距分析算法能增强雷达信号分选算法的鲁棒性，降低算法对搜索容限的依赖，具有良好的工程应用价值。仿真表明，改进的信号分选算法比序列差值直方图算法的分选概率高20%。

Abstract:

There are some problems existing in common radar signal sorting methods, which are easy to generate Pulse Repetition Interval(PRI) harmonics and split the pulse stream belonging to the same radar into several pieces. In view of these problems，this paper presents an improved algorithm for radar signal sorting basing on an intercept of Time of Arrival(TOA) fitting straight line analysis algorithm. The algorithm can solve these two problems to a large extent. In the improved algorithm of radar signal sorting，the two situations mentioned above are judged by analyzing the intercepts of TOA fitting straight lines，and then corresponding pulse sequences are merged to obtain the correct sorting results. The intercept analysis algorithm enhances the robustness of the sorting algorithm to reduce the algorithm dependence on search tolerance，and it shows good engineering application value. The simulations have proved that，the sorting probability of improved algorithm is higher than that of Sequential Difference histogram(SDIF) by 20%.