DESIGN OF UNDERWATER COMMUNICATION NOISE ANALYSIS
Objective
The objective is to simulate and study underwater audio communication using MATLAB. The project models underwater noise and employs FIR filters to control and analyze signal quality, utilizing QPSK modulation and demodulation techniques for transmitter and receiver design.
Abstract
Audio communication systems face difficult challenges when it comes to underwater communication because of factors including ambient noise, multi-path, shifting signal propagation, and other impacts in the underwater audio channel. Applications for underwater communication include environmental monitoring, defence activities, and marine exploration. In order to mimic noise with the appropriate power spectral density (PSD), this study uses finite impulse response (FIR) filters to address underwater communication lines. It entails modelling underwater noise and analysing the communication channel using MATLAB software, as well as designing and simulating the transmitter and receiver in accordance with system specifications. In this project, FIR filter-based PSD is used to introduce and remove noise while implementing QPSK modulation and demodulation at the transmitter and receiver sides.
Keywords - Underwater Communication, Finite Impulse Response (FIR), Quadrature Phase Shift Keying (QPSK), Power Spectral Density (PSD), Signal-to-Noise Ratio (SNR).
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 Signal Processing?
· About Signal Processing
· Introduction to Signal Processing
· How analog and digital signal is formed
· Importing the signal via signal acquisition tools
· Analyzing and manipulation of signals.
· Phases of signal processing:
· Acquisition
· Signal enhancement
· Signal restoration
· Medical Signal Processing
· Medical Signal Analysis
· Medical Signal Diagnosis
· Filtering techniques
· Machine Learning Algorithms
· Deep Learning Algorithms 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
Paper Publishing
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Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
