基于周期样本图重构的雷达PRI调制类型识别算法研究

Research on radar PRI modulation type recognition algorithm basedon periodic sequence pattern reconstruction

摘要:

为提升对雷达脉冲重复间隔(pulse repetition interval, PRI)的分析性能,提出了一种基于周期样本图重构的雷达PRI调制类型识别算法。首先,建立了雷达PRI调制模型,分析了不同调制类型的信号特点;其次,利用到达时间(time of arrival, TOA)多阶差分序列估计了雷达PRI调制周期,并基于直方图算法重构了PRI周期样本图;然后,以PRI周期样本图为基础,提出了5个PRI调制特征实现PRI调制类型识别;该方法不仅能够提升PRI调制类型的识别准确率,而且对干扰脉冲特别是脉冲丢失具有很强的稳健性;最后,仿真实验表明了所提方法的有效性。

Abstract:

In order to improve the performance of radar pulse repetition interval(PRI) analysis,this paper proposed a PRI modulation type recognition algorithm based on periodic sequencepattern reconstruction. Firstly, the radar PRI modulation model was established, andthe characteristics of different modulation types were analyzed. Secondly, the time of arrival(TOA) multi-order difference sequence was used to estimate the radar PRI modulation period,and the PRI periodic sequence pattern was reconstructed based on the histogram algorithm.Then, based on the PRI periodic sequence pattern, five PRI modulation features wereproposed to identify the PRI modulation types. This method can not only improve the recognitionaccuracy of PRI modulation type, but also has strong robustness to interference pulseand pulse missing. Finally, simulation results were presented to verify the efficiency of theproposed method.