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Pulse compression techniques applied to a very shallow water data

机译:脉冲压缩技术应用于非常浅的水数据

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An analysis of pulse compression techniques to improve range resolution of acoustic reflection data in very shallow waters is presented. A linear array with 20 hydrophones spread over 40 meters is towed behind a resonant acoustic source. This system is used to investigate regions with water column ranging from 4 m to 10 m depth. In order to obtain increased range resolution while maintaining an appropriated signal-to-noise ratio, swept sine signals (chirp) were used to ensonify the environment. In this case, long duration pulses are emitted by the source and then compressed during the data processing stage. This process allows easy location of the reflections in the signal. For the analysis, different types of chirp pulses were created and its propagation through the subsurface was simulated. The resulting signals are processed using known compression techniques like the matched filtering and the deconvolution. The objective of the study is to select a combination of excitation signal and processing technique that gives best range resolution and signal-to-noise ratio. Results are discussed and the benefit of each type of signal and processing technique are presented.
机译:提出了一种用于改善非常浅水域中声反射数据的距离分辨率的脉冲压缩技术的分析。带有20个水听器的线性阵列分布在40米上,被拖到一个共振声源的后面。该系统用于调查水柱深度为4 m至10 m的区域。为了在保持适当的信噪比的同时获得更高的距离分辨率,使用了正弦扫频信号(线性调频)来使环境产生声响。在这种情况下,源发出长脉冲,然后在数据处理阶段将其压缩。该过程允许容易地定位信号中的反射。为了进行分析,创建了不同类型的线性调频脉冲,并模拟了其在地下的传播。使用已知的压缩技术(如匹配滤波和解卷积)处理所得信号。研究的目的是选择激发信号和处理技术的组合,以提供最佳的距离分辨率和信噪比。讨论了结果,并介绍了每种信号和处理技术的好处。

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