DESIGN AND DEVELOPMENT OF ENERGY EFFICIENT TELE COMMAND SUBSYSTEM USING SOFTWARE DEFINED RADIO
Objective
The objective of this project is to design an energy-efficient telecommand subsystem using software-defined radio. This involves implementing Spectral Covariance Method with Different Window Technique to improve energy optimization and maintain performance in varying SNR conditions. Verification will be conducted through Signal to Noise Ratio (SNR) and Bit-Error Rate (BER).
Abstract
The main theme of this project is to design and develop an energy efficient tele command subsystem using software defined radio. The energy optimization is one of the major concern in the implementation of a tele command subsystem. The energy optimization has been optimized through many of the algorithms and optimization techniques but, none of the reached the desired level. So, now in this implementation, we’re going to use Software Defined Radio (SDR) with an optimization technique known as Spectral Covariance Method using Different Window Technique. The method not only reaches desired level but also performs better with different SNR environments. The method’s efficiency will be validated on the basis of the Bit-Error Rate (BER) and Signal to Noise Ratio (SNR).
Keywords: Tele Command Subsystem (TCSS), Energy Efficient, Software Defined Radio (SDR), Bit-Error Rate (BER) and 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 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
Paper Publishing
Request Call Back
Would you like to receive a free callback now?
Choose the best time for callback:
Leave your message and we will contact you as soon as possible
6-2-85/B, Old Maternity Hospital Road, Thyagaraja Nagar, Tirupati, Andhra Pradesh – 517501
+91 9030333433
+91 9393939065
0877-2261612
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.
