QAM-OFDM Radar Imaging System
Objective
To develop a theoretical QAM-OFDM bistatic radar imaging system enabling passive drone localization by constructing 2D radar images from delay-based bistatic arcs using multiple fixed base stations.
Abstract
This work presents a comprehensive theoretical framework for a QAM-OFDM radar imaging system that enables passive, non-cooperative localization of a drone using a bistatic radar setup. The system comprises three fixed base stations and a flying drone equipped with multiple reflective scatterers. In each of three cases, one base station transmits a QAM-modulated OFDM signal while the other two receive reflections from the drone. The transmitted signal is generated through bitstream modulation, IFFT-based conversion, and cyclic prefixing to combat multipath interference. Upon transmission, signals reflect off the drone's scatterers, introducing delays and amplitude changes governed by bistatic radar equations. The receivers digitize and process the signals via FFT and QAM demodulation, with cross-correlation used to estimate time delays associated with each reflection. These delays are then mapped to bistatic arcs—elliptical loci representing potential scatterer positions. By combining delay arcs from all six transmission-reception paths, a 2D radar image is constructed, highlighting scatterer positions based on intersecting arcs. The resulting reflectivity heatmap outlines the drone’s shape and location, effectively reconstructing its spatial structure using only passive signal reception.
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
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