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Radio frequency environment emulation: software-defined radio-based design and implementation : a thesis in Electrical Engineering
Thesis   Open access

Radio frequency environment emulation: software-defined radio-based design and implementation : a thesis in Electrical Engineering

Garret Magalhaes
Master of Science (MS), University of Massachusetts Dartmouth
2025
DOI:
https://doi.org/10.62791/20456

Abstract

As new developments are made for wireless communication systems, the demand for applying Radio Frequency (RF) systems in real environments has increased. This research applies Universal Software Radio Peripheral (USRP) technology to create are configurable RF environment framework for efficient wireless system testing. The comprehensive testbed features multiple modulation schemes including Amplitude Modulation (AM), Frequency Modulation (FM), Binary Phase-Shift Keying (BPSK)to transmit Global Positioning Systems (GPS) coordinates, Orthogonal Frequency Division Multiplexing with Quadrature Phase-Shift Keying (OFDM-QPSK), and Automatic Dependent Surveillance-Broadcast (ADS-B) transmission. The implementation used MATLAB for signal generation and algorithm design, with the USRP X300platform serving as the RF front-end for transmission and reception. Dedicated transmitter-receiver configurations were validated through time and frequency domain analysis, revealing trade-offs between bandwidth efficiency, power efficiency, noise immunity, and implementation complexity. OFDM-QPSK emerged as the most spectrally efficient technique, while simpler schemes like AM provided baseline metrics. The research also explores field programmable gate array (FPGA) acceleration through model-based design, creating a workflow from MATLAB/Simulink to Hardware Description Language (HDL) code generation for future USRP integration that addresses toolchain compatibility and RF Network on Chip (RFNoC) framework challenges. The array processing simulation capability extended the platform’s utility for spatial signal processing research. This work bridges theoretical RF design with practical implementation, providing a flexible framework for testing wireless systems in realistic scenarios.
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