基于ST-FRFT的低信噪比脉冲信号特征检测

Feature detection of low SNR 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。本文采用了基于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。

Abstract:

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