摘要
为了确保鱼雷引信可靠动作必须准确提取和识别鱼雷电磁引信目标信号特征,描述了表征信号奇异性的Lipchitz指数方法,阐述了基于小波变换的信号奇异值检测原理,分析了电磁引信目标信号的包络经幅度识别后存在奇异值的情况。基于此,提出了一种目标信号时间变化率和持续时间特征识别的新方法,该方法以提取目标信号的实际特征为中心,通过选择合适的小波基函数和分解尺度,精确地检测出包络信号的奇异点。仿真结果表明,相比传统的模拟电路识别方法,本文提出的方法易于实现,识别精度高,且不受门限电压变化的影响,具有较好的工程应用价值。
The features of target signal for torpedo electromagnetic fuze must be extracted and recognized exactly to ensure reliable action of torpedo fuze. Lipchitz exponent method for symbolizing signal＇s singularity is described, the principle of detecting signal＇s singularity based on wavelet transform is introduced, and the presence of singular value in the envelope of the target signal for torpedo electromagnetic fuze after amplitude recognition is analyzed. Then a new recognition method is put forward for the features of time-varying rate and lasting time of the envelope. The method can detect accurately the singular point of the envelope signal by extracting the real feature of target signal and selecting suitable wavelet base function and decomposition scale. Simulation results show that in contrast to traditional recogni- tion methods with analogy circuits, the proposed method is easier in realization with weaker limitation of threshold voltage variation, besides, it has a high recognition precision and good engineering application.
出处
《鱼雷技术》
2013年第1期30-33,53,共5页
Torpedo Technology
关键词
鱼雷
电磁引信
特征识别
小波变换
奇异值检测
torpedo
electromagnetic fuze
feature recognition
wavelet transform
singular value detection
