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机构地区:[1]国家海洋局海洋环境科学与数值模拟重点实验室,山东青岛266061 [2]国家海洋局第一海洋研究所,山东青岛266061
出 处:《海洋科学进展》2012年第4期487-492,共6页Advances in Marine Science
基 金:国家自然科学基金项目--南黄海热通量的观测分析和SST变化;季节变化的机理研究(40806015);海洋公益性行业科研专项经费--剧变天气前后声传播特性及声学设备声源特性分析技术研究(201005004-02)
摘 要:通过分析C-BOOM浅剖信号的时域和频域特点,观察到其信号频带较宽,和环境噪声频带重叠,而且信号重复性较差,使得无法使用傅立叶变换等传统方法对C-BOOM浅剖信号进行准确的频域参数估计和滤波。基于HHT(Hilbert-Huang Transform)方法对C-BOOM浅剖信号进行分析,通过分析筛选由EEMD(Ensemble Empiri-cal Mode Decomposition)分解得到的信号分量确定了信号频带和中心频率等频域参数,在未知信号频带的情况下完成了对信号的滤波,分离得到了C-BOOM浅剖的信号部分和环境噪声部分。通过比较分离得到的环境噪声成分和真实环境噪声的频谱,验证了信号分离方法是有效的。When analyzing the time and frequency domains of the signals of C-BOOM subbottom profiler, it has been found that the frequency band of the signals is wide and overlaps with the frequency band of envi- ronmental noises Besides, the repeatability of the signals is so poor that traditional methods such as Fou- rier transform cannot be used for the accurate estimation of frequency-domain parameters and for filtering as well. The HHT (Hilbert-Huang Transform) method is used to analyze the signals and the frequency- domain parameters such as the frequency band and the central frequency of the signals are determined by a- nalysis and filtration of the components obtained by decomposing with EEMD. In such a way, the signals are filtered under the condition of unknowing the signal frequency band, and the signals of C-BOOM sub- bottom profiler are separated from the environmental noises. By comparing the noises obtained by the sep- aration mentioned above with the frequency spectrum of real environmental noises, the above method for the signal separation has been validated.
分 类 号:P631.5[天文地球—地质矿产勘探]
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