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A determination process of the number and distance of sea objects using CHIRP signal in a three sensors based underwater network

机译:基于三个基于水下网络中的三个传感器中的啁啾信号的啁啾信号的数量和距离的确定过程

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An inspection of signal processing approach in order to determine the number and distance of objects in the sea is conducted in this paper. In recent researches, a great emphasize is put on determining the number and distance of objects in the sea. But unfortunately, it's a difficult task due to the badly effect of high absorption, long propagation delay as well as dispersion. However, besides SONAR based techniques, some conventional techniques are also familiar to these aspects. In this research, we have proposed a statistical signal processing approach called Cross-correlation, due to its simplicity and convenience for any environment in the sea. The echo effect of CHIRP signal is used here to determine the number and distance of objects in such underwater networks where three sensors are located due to the task. We have verified this proposed theory by a simulation using MATLAB.
机译:在本文中检测了信号处理方法,以确定海中物体的数量和距离。 在最近的研究中,强调了确定海洋中物体的数量和距离。 但不幸的是,由于高吸收,长传播延迟以及分散的严重影响,这是一项艰巨的任务。 然而,除了基于Sonar的技术外,这些方面还熟悉一些传统技术。 在本研究中,我们提出了一种称为互相关的统计信号处理方法,这是由于其在海中的任何环境的简单性和便利性。 这里使用啁啾信号的回声效应来确定这种水下网络中的物体的数量和距离,其中三个传感器由于任务而定位。 我们通过使用MATLAB的模拟验证了这一提出的理论。

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