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首页> 外文会议>Fifth international symposium on instrumentation science and technology >Extraction of Shaft-rate Modulated Electric Fields of a Ship in Shallow Sea with Strong Background Noise
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Extraction of Shaft-rate Modulated Electric Fields of a Ship in Shallow Sea with Strong Background Noise

机译：具有强背景噪声的浅海船舶轴速调制电场的提取

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The electric field is the intrinsic characteristic of a ship. The measurement of the electric field of a ship is greatly disturbed by noise in shallow sea. The measured signals can be processed using wavelet transform, adaptive filtering or time-frequency analysis. Adaptive filtering can be used to remove a part of ambient noise. But the filtering effect is not obvious because a certain type of industrial interference signal is also of an extremely low frequency, When wavelet transform is used to remove noise, most noises from the electric fields of sea are removed. However, it also has nothing to do with the periodical noises with an extremely low frequency. As far as time frequency method is concerned, the original signals are first analyzed within the frequency band, and then they are compared with the measured ambient signals. After the range of shaft-modulated signals are found, the signals of required frequency band are extracted for further IFFT transform. The processing results show that the traffic characteristic of a ship is very clear, representing the signals are extracted out.
机译：电场是船舶的固有特性。浅海中的噪声极大地干扰了船舶电场的测量。可以使用小波变换，自适应滤波或时频分析来处理测得的信号。自适应滤波可用于去除一部分环境噪声。但是，由于某种类型的工业干扰信号的频率也非常低，因此滤波效果并不明显。当使用小波变换去除噪声时，大部分来自海洋电场的噪声都将被去除。但是，它也与频率极低的周期性噪声无关。就时间频率方法而言，首先在频带内分析原始信号，然后将其与测量的环境信号进行比较。找到轴调制信号的范围后，提取所需频带的信号以进行进一步的IFFT转换。处理结果表明，船舶的交通特性非常清晰，代表信号被提取出来。

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