Title :
Signal detection based on mathematical morphology in oceanic reverberation
Author :
Wang, Zhi-qiang ; An, Liang ; Lu, Ji-ren
Author_Institution :
Southeast Univ., Nanjing
Abstract :
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.
Keywords :
acoustic signal detection; filtering theory; mathematical morphology; oceanographic techniques; reverberation; beamforming; image processing; mathematical morphology; oceanic reverberation; processed beam image; signal detection; whiten filter; Array signal processing; Filtering; Image processing; Matched filters; Morphology; Reverberation; Signal detection; Signal processing; Signal to noise ratio; White noise; Beamforming; Mathematical Morphology; Reverberation; Signal Detection; Whiten Filter;
Conference_Titel :
Mechatronics and Machine Vision in Practice, 2007. M2VIP 2007. 14th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-1358-4
Electronic_ISBN :
978-1-4244-1358-4
DOI :
10.1109/MMVIP.2007.4430705