Research of Underwater Bottom Object and Reverberation in Feature Space

作     者：Xiukun Li Zhi Xia 

作者机构：Science and Technology on Underwater Acoustic Laboratory Harbin Engineering University Harbin 150001 China 

出 版 物：《Journal of Marine Science and Application》 (船舶与海洋工程学报（英文版）)

年 卷 期：2013年第12卷第2期

页      面：235-239页

学科分类：08[工学] 080203[工学-机械设计及理论] 081304[工学-建筑技术科学] 0802[工学-机械工程] 0813[工学-建筑学] 

基　　金：Supported by the National Natural Science Foundation of China  under Grant No.51279033 

主　　题：underwater bottom object pattern of reverberation feature clustering feature space underwater object detection 

摘      要：The critical technical problem of underwater bottom object detection is founding a stable feature space for echo signals classification. The past literatures more focus on the characteristics of object echoes in feature space and reverberation is only treated as interference. In this paper, reverberation is considered as a kind of signal with steady characteristic, and the clustering of reverberation in frequency discrete wavelet transform （FDWT） feature space is studied. In order to extract the identifying information of echo signals, feature compression and cluster analysis are adopted in this paper, and the criterion of separability between object echoes and reverberation is given. The experimental data processing results show that reverberation has steady pattern in FDWT feature space which differs from that of object echoes. It is proven that there is separability between reverberation and object echoes.