相参脉冲信号识别方法和性能分析

Coherent Pulse Train Identification Algorithm and Its Performance Analysis

提出了一种相参脉冲信号识别算法,通过检测脉冲相位的线性度判别序列的相参性。该算法通过相参积累,有效地提高了信号的信噪比。文中讨论了门限的选取对算法性能的影响,给出了相应的数学推导,并通过仿真实验对推导结果加以验证。同时还讨论了算法的信噪比门限。仿真实验表明,本方法可以在较低信噪比情况下实现对脉冲信号相参性的识别。本文算法有助于实现对脉冲多普勒雷达的识别和告警,对研制数字射频存储器也具有重要意义。

Based on the phase linearity of a pulse train, a coherency identification algorithm is proposed to deal with pulse signals. The algorithm can improve the signal-to-noise ratio （SNR） of the signal through coherent accumulation. The relationship between the threshold and the performance of the algorithm is discussed. A formula of the minimum SNR is presented. Simulation results show high performance of the proposed algorithm. The proposed algorithm can be applied to the identification of the pulse Doppler radar. It can also help to develop the digital radio frequency memory （DRFM）.