针对低信噪比环境下信号估计概率低和子周期呈等差的脉冲参差信号低截获、难分选的问题,提出了一种基于改进滑窗与等差判决的信号参数估计与分选方法。文中,首先利用改进滑窗的双门限检测对脉冲信号信噪比进行增强,计算比较滑窗能量累积值,寻找信号的起始、终止时间。其次,针对等差层次的时序重复特性,提出基于差分统计的等差判决流程,使序列差值直方图算法在复杂脉冲环境和脉冲丢失较高环境下能够分选该种参差信号。仿真与试验结果表明:该方法在-6 dB情况下有10%以上的精度提升,等差判决算法在高脉冲流密度条件下仍能较准确地分选出该种信号,且在脉冲丢失较高环境下仍有一定的分选成功率。

In order to solve the problem of low probability of signal estimation and low interception and difficult sorting of equal subperiod stagger signals in low signal-to-noise environment, an estimation and sorting method based on improved sliding window and equal-difference decision is proposed. Firstly, the signal-to-noise ratio of the pulse signal is enhanced by the double-threshold detection of the improved sliding window, and the cumulative energy value of the comparison sliding window is calculated to find the start and end time of the signal. Secondly, in view of the time sequence repetition characteristic of the equal-difference level, an equal-difference decision process based on difference statistics is proposed, which can sort the staggered signal in complex pulse environment and high pulse loss environment. The simulation results show that this paper can improve the accuracy by more than 10% in the case of -6 dB. The equal-difference decision algorithm can accurately sort the signal accurately in multiple signal environments,and has a certain sorting success rate in high pulse loss environments.

TN971

2021年国家重点开发计划合作项目(2018YFE0206500)