基于脉冲熵值的雷达信号分区分选方法

A Partition Sorting Method of Radar Signal Based on Pulse Entropy Value

复杂电磁环境下,信号高度密集会导致现有雷达信号分选方法准确性和时效性降低。针对这一问题,提出了一种基于脉冲熵值的雷达信号分区分选方法。采用雷达信号脉冲重复周期作为信号区分标志,对雷达信号序列按时间分区后分别计算脉冲熵值,并依据分区脉冲熵值对信号分区排序,逐步对分区信号使用改进的SDIF方法分选,实现对整体信号由简单到复杂的分选。给出了信号分选成功率和分选效率计算方法,仿真计算表明新的算法可以提高分选识别正确率和实时性。

In complex electromagnetic environment,high signal density causes the accuracy and efficiency reduction of present radar signal sorting methods. To solve the problem,a radar signal partition sorting method is proposed based on pulse entropy value. After a radar signal sequence is separated into several partitions,the pulse repetition interval of radar signal is used as discrimination mark to compute the pulse entropy values of different partitions,which are used to sort the different partitions of radar signal. With the improved sequential difference histogram( SDIF) algorithm,signal partitions are progressively sorted,which realize the whole signal sorting through the process from simplicity to complexity. The computing methods of successful sorting rate and sorting efficiency are provided,and the simulation results demonstrate that the new method can improve the successful sorting rate and sorting efficiency in complex electromagnetic environment.