伪码体制脉冲串引信信号参数提取方法

Parameter Extraction of Pseudo-random Code Pulse Train Fuze Signal

针对伪码调相正弦调频(PRCPM-SFM)复合调制脉冲串引信参数提取问题,提出了基于ZAM分布的引信信号特征参数提取方法。该方法首先对接收到的PRCPM-SFM复合调制脉冲串引信信号进行ZAM变换、Hilbert变换,然后结合信号本身的特性,对Hilbert变换后的信号再进行微分,并对ZAM分布图进行投影、切割,从中提取出该引信信号的载频、脉冲宽度、脉冲重复周期、调制频率、调频频偏、伪码码型、伪码码长等特征参数。仿真分析表明,利用该方法提取的特征参数的NRMSE受噪声环境的影响,在不依赖于任何先验信息的情况下,该方法能够在一定的噪声环境中有效提取出复合引信信号的所有特征参数,提高复合引信信号的SNR,能够提高其特征参数的提取精度。

A method based on ZAM distribution was put forward for the feature parameter extraction of PRCPM-SFM combined pulse train fuze signal. The received combined signal was treated by ZAM and Hilbert transformation firstly, then, according to the characteristics of the signal itself, the feature parameters such as carrier frequency, pulse width, pulse repetition period, modulation frequency , modulation frequency deviation, pseudo-random code type and length, were extracted by differentiating the signal after Hilbert transformation, projecting and cutting the ZAM distribution map. Simulation analysis showed that the NRMSE of the character- istic parameters extracted by the method was affected by the noise environment, and the characteristic parame- ters of the combined fuze could be extracted effectively without any prior information in a certain noise environ- ment, and the accuracy of the extracted feature parameters could be improved by improving the SNR of the com- bined fuze signal.