Cross-correlation based Underwater Node Estimation Technique and a Concise Summary of Different Effects on It

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Cross-correlation based Underwater Node Estimation Technique and a Concise Summary of Different Effects on It

Journal Title: Global Journal of Engineering Sciences - Year 2019, Vol 1, Issue 4

Abstract

To overcome the common problem, i.e., protocol complexity, of conventional underwater node estimation techniques, a statistical signal processing technique was proposed as an alternative. The technique uses cross-correlation as signal processing tool and hence it is called cross-correlation based underwater node estimation technique. This technique can overcome the protocol complexities, human interaction, over cost, etc., of conventional techniques. However, to introduce the readers with different technical aspects regarding this technique, the paper is introduced. We have used mean, and standard deviation as our estimation parameter to estimate nodes. At the same time, we have illustrated a brief discussion on effect of signal length, underwater bandwidth, etc., simultaneously in this paper. This writing can boost the researches in this field.

Authors and Affiliations

Sadman Saffaf Ahmed

Keywords

Underwater network Wireless sensor network Signal processing CHRIP Cross-correlation Sensors in line Sensor networks Underwater environment Monitoring daily ocean life Seismic and volcanic prediction Oceanographic data collection Pollution monitoring Deep-sea archaeology Seawater data collection

EP ID EP591270
DOI 10.33552/GJES.2019.01.000516
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