A cross-correlation based signal processing approach to determine number and distance of objects in the sea using CHIRP signal

Shaik Asif Hossain, Md. Shamim Anower, Amit Halder
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引用次数: 7

Abstract

This paper inspects a signal processing approach to determine number and distance of objects in the sea. Determining number and distance of objects in the sea are two key factors for underwater communication. Now-a-days navigation, marine experiment, fisheries, detective purposes and many other works in under water are highly dependent on this determination. However, including SONAR some conventional techniques are used in these purposes, sometimes, these techniques are complex as well as costly. Here, we try to show a statistical tool called cross-correlation technique, which is, on the other hand, a significant aspect in signal processing approach. The cross-correlation technique is used in this determination process. We transmitted CHIRP signal and used its echo effect in order to determine the number and distance of the objects in the sea. We have verified this proposed theory by a simulation from the MATLAB programming environment.
一种基于互相关的信号处理方法,利用CHIRP信号确定海面目标的数量和距离
本文研究了一种确定海上目标数量和距离的信号处理方法。确定海上目标的数量和距离是水下通信的两个关键因素。如今的航海、海洋实验、渔业、侦探目的和许多其他水下工作都高度依赖于这种测定。然而,包括声纳在内的一些传统技术被用于这些目的,有时,这些技术既复杂又昂贵。在这里,我们试图展示一种称为互相关技术的统计工具,另一方面,它是信号处理方法的一个重要方面。在测定过程中采用了互相关技术。通过发射CHIRP信号,利用其回波效应来确定海面目标的数量和距离。我们在MATLAB编程环境中通过仿真验证了所提出的理论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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