IMPROVED UNDERWATER WIRELESS COMMUNICATION SYSTEM USING OFDM TECHNIQUE

Project Code :TMMACO120

Objective

The paper enhances underwater wireless communication using OFDM to reduce BER and improve SNR with simulations.

Abstract

The paper focuses on Orthogonal Frequency Division Multiplexing (OFDM) based modulation plan to enhance the wireless communication system underwater. The plan partitions the accessible bandwidths divided into numerous overlapping sub-bands where, in contrast to the multipath, the symbol lifetime is lengthy expansion of the channels. Inter-symbol interference is eliminated by this multipath spread on the channels, hence increases the bandwidth that is available. As a result of the procedure, the OFDM approach was used to narrow down the selection of bit error rate (BER) for each subcarrier in the channel for a specific signal to noise ratio (SNR). This method was investigated using Gaussian noise to measure the SNR in a noisy underwater audio channel nonetheless, offered no reflections. Distortion results from the effect at the received signal when inter-subcarriers interference changed throughout time. This was discovered by running multiple simulations using the MATLAB program. When the simulation results were compared to the theoretical values, it was found that the technique improved performance in terms of BER. According to the simulation, the best sub OFDM block number for a given SNR would produce the lowest possible BER. The outcome demonstrates a strong agreement between typical experimental parameters and the theoretical models for OFDM underwater application.

 Keywords - Orthogonal Frequency Division Multiplexing; Quadrature Phase Shift Keying; underwater wireless acoustics; Signal to Noise Ratio; Bit error ratio.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

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 Communication?

·         About Communication

·         Introduction to Communication

·         How Communication Works?

·         Importing the System Design, Characterization and Visualization

·         Analyzing of BER tool

·         Analyzing of Error Rate Test Console

·         Generation of WSN

·         WSN network creation

·         Nodes Communication

·         Clustering

·         Routing

·         Convolutional

·         Equalization and Synchronization 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

Demo Video