Tuesday 20th of February 2018

Underwater acoustic communications using direct-sequence spread spectrum

Dheyauldeen Najm Abdulameer and R. B. Ahmad

In this paper, it has considered Orthogonal Frequency Division Multiplexing (OFDM) as one of the most used technique in communications applied in a wide-band radio channel, it has been chosen as an air interface for the downlink in the framework of Long Term Evolution (LTE) standardization due to its flexibility and adaptively in the technical system design, also considered the use of undersea acoustic communications, to achieve more robust communications as well as high quality of service, it is necessary to develop a type of adaptive receiver for the acoustic link. This process involves estimating the channel scattering function by processing the received Direct Sequence Spread Spectrum (DSSS) acoustic signal. This information is used by an innovative receiver introduced for usage in the underwater environment.

Keywords: OFDM, LTE, DSSS, UWSN.

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Dheyauldeen Najm Abdulameer
Dheyauldeen Najim Abdulameer), a PhD student in University Malaysia, Perlis, school of computer and communication engineering (UniMAP). Got B.Sc. in Electronics and Communication Engineering from College of Engineering, University of Al-Nahrain, in 1992. M.Sc. in communication from university of Technology, college of Alrasheed, 2002. Email is ()

R. B. Ahmad
R.B. Ahmad obtained his B. Eng in Electrical and Electronic Engineering from Glasgow University in 1994. He obtained his M.Sc and Ph.D. in 1995 and 2000, respectively, from the University of Strathclyde, UK. His research interests are on computer and telecommunication network modeling using discrete event simulators, optical networking, and coding and embedded system based on GNU/Linux for vision. He has five (5) years of teaching experience in Universiti Sains Malaysia. Since 2004, he has been working in Universiti Malaysia Perlis (UniMAP), where he is currently the Dean in the School of Computer and Communication Engineering and the Head of the Embedded Computing Research Cluster.

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