Paper PublishingUnder Water Wireless Communication using Matlab with Modem
Objective
A Simulink model for IDMA-OFDM is presented. Its performance was observed on BER graph which displayed a BER v/s SNR plot.
Abstract
Cellular communication over earth is far different than communication underwater because a single water body like an ocean has different water columns existing throughout its regions. A transmitter-receiver pair developed to work at deep sea level won’t work in shallow coastal regions because the properties of water column present between the transmitter-receiver will be completely different and vice-versa. The diversity of water bodies is what makes the implementation of communication link more challenging. As of now Acoustics is the most promising method employed to establish UWC link. But this method is hindered by multipath phenomenon which introduces a large delay spread. This in turn will result in Inter symbol Interference (ISI) consequently degrading the system’s performance. Employing OFDM technique will reduce the delay spread. OFDM paired with IDMA provides a superior technique to reduce error bursts in multi-access underwater applications. A Simulink model for IDMA-OFDM is presented in this paper. Its performance was observed on BER graph which displayed a BER v/s SNR plot.
Keywords: underwater communication, wireless, Orthogonal Frequency Division Multiplexing (OFDM), Interleave Division Multiple Access (IDMA).
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Block Diagram
Specifications
Software: Matlab 2020a or above
Hardware:
Operating Systems:
- Windows 10
- Windows 7 Service Pack 1
- Windows Server 2019
- Windows Server 2016
Processors:
Minimum: Any Intel or AMD x86-64 processor
Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support
Disk:
Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation
Recommended: An SSD is recommended A full installation of all MathWorks products may take up to 29 GB of disk space
RAM:
Minimum: 4 GB
Recommended: 8 GB
Learning Outcomes
· Introduction to Matlab
· What is EISPACK & LINPACK
· How to start with MATLAB
· About Matlab language
· Matlab coding skills
· About tools & libraries
· Application Program Interface in Matlab
· About Matlab desktop
· How to use Matlab editor to create M-Files
· Features of Matlab
· Basics on Matlab
· What is an Image/pixel?
· About image formats
· Introduction to Image Processing
· How digital image is formed
· Importing the image via image acquisition tools
· Analyzing and manipulation of image.
· Phases of image processing:
o Acquisition
o Image enhancement
o Image restoration
o Color image processing
o Image compression
o Morphological processing
o Segmentation etc.,
· How to extend our work to another real time applications
· Project development Skills
o Problem analyzing skills
o Problem solving skills
o Creativity and imaginary skills
o Programming skills
o Deployment
o Testing skills
o Debugging skills
o Project presentation skills
o Thesis writing skills
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