Noisy Reverberation Suppression Using AdaBoost Based EMD in Underwater Scenario | Zendy

Kusma Kumari Cheepurupalli | Zendy; Raja Rajeswari Konduri | Zendy

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Noisy Reverberation Suppression Using AdaBoost Based EMD in Underwater Scenario

Author(s) -

Kusma Kumari Cheepurupalli,

Raja Rajeswari Konduri

Publication year - 2014

Publication title -

international journal of oceanography

Language(s) - English

Resource type - Journals

eISSN - 1687-9414

pISSN - 1687-9406

DOI - 10.1155/2014/563780

Subject(s) - reverberation , hilbert–huang transform , adaboost , chirp , computer science , acoustics , speech recognition , signal (programming language) , artificial intelligence , signal processing , interference (communication) , pattern recognition (psychology) , computer vision , telecommunications , support vector machine , physics , radar , optics , laser , channel (broadcasting) , filter (signal processing) , programming language

Reverberation suppression is a crucial problem in sonar communications. If the acoustic signal is radiated in the water as medium then the degradation is caused due to the reflection coming from surface, bottom, and volume of water. This paper presents a novel signal processing scheme that offers an improved solution in reducing the effect of interference caused due to reverberation. It is based on the combination of empirical mode decomposition (EMD) and adaptive boosting (AdaBoost) techniques. AdaBoost based EMD filtering technique is used for reverberation corrupted chirp signal to decrease the noisy components present in the received signal. An improvement in the probability of detection is achieved using the proposed algorithm. The simulation results are obtained for various reverberation times at various SNR levels

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