基于ST-FRFT脉冲信号特征检测技术研究

Research on Characteristic Detection Technology of Pulse Signals Based on ST-FRFT

摘要:

水下无人平台在对舰船目标的自主探测过程中时常会受到水下脉冲干扰，其中较为常见的是单频信号、线性调频信号等脉冲信号，为了抵消此类脉冲干扰，需要对脉冲信号的信号脉宽、调制斜率、中心频率等特征信息进行检测。采用了基于 FRFT 和 STFT 相结合的 ST-FRFT 算法对水下脉冲信号信息特征进行检测，通过模拟仿真和海上实测数据检测对算法的实时和有效性进行了验证，该算法可应用到水下小平台对舰船目标的抗干扰检测。

关键词:水下无人平台;水声脉冲检测;分数阶傅里叶变换

Abstract:

In the process of autonomous detection of ship targets，unmanned underwater platforms often suffer from underwater pulse interference，among which single-frequency signals，linear frequency modulation signals and other pulse signals are more common. In order to offset such pulse interference，it is necessary to detect the signal pulse width，modulation slope，center frequency and other characteristic information of pulse signals. In this paper， ST-FRFT algorithm based on the combination of FRFT and STFT is used to detect the characteristics of underwater pulse signal information. The real-time and effectiveness of the algorithm is verified through simulation and sea data detection. The algorithm can be applied to the anti-interference detection of underwater small platforms to ship targets.

Key words:unmanned underwater vehicle;underwater acoustic pulse detection;fractional Fourier transform