Signal detection based on mathematical morphology in oceanic reverberation

In the paper, to improve the signal detection performance in an oceanic reverberation environment, the algorithm based on whiten filter, beamforming, and mathematical morphology from image processing was presented as well as the parameters selection method of the detector. The result of an oceanic experimentation presents that the algorithm does improve the performance in the oceanic reverberation background. Especially, in the processed beam image, the target is very distinct. Comparing with single traditional anti-reverberation method, the algorithm fully utilizes the temporal and spatial difference between detection signal and reverberation to optimize the localization and detection.