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