一种沉底小目标的主动高频仿生波形分析及探测方法

The active high frequency bionic waveform analysis and bionic detection method for small target at sea bottom

为研究和分析用仿生信号及处理方法探测沉底小目标的可行性及探测性能,分别从时域频域波形、模糊度函数、抗混响性能方面分析了仿海豚声呐信号,并用计算机仿真了复杂背景下沉底小目标的探测。理论分析和仿真结果表明:在几种仿海豚声呐信号中,频率重叠较多的信号混响抑制效果最好;仿生探测方法的性能比标准声呐探测方法有了明显的提高。仿生信号及探测方法可作为一种新型的沉底小目标探测信号及处理方法。

To explore the possibility and performance of the bionic signals and detection method for small target sunk at sea bottom, this paper studies and analyzes the characteristics of three different dolphin-clicks sonar signals in time domain and frequency domain, ambiguity function and anti-reverberation respectively; and uses compute simulation to conduct the detections of the small target at sea bottom under complex background. Both the theoretical analysis and simulation results show that： the dolphin-clicks sonar signal with more frequency overlaps has the best performance in anti-reverberation among the three signals; the performance of the bionic detection method is better than the standard sonar detection method. Dolphin-clicks sonar signal and bionic detection can be a kind of novel signal and detection method to detect small target sunk at sea bottom.