Date of Award
3-2025
Document Type
Thesis
Degree Name
Master of Science in Electrical Engineering
Department
Department of Electrical and Computer Engineering
First Advisor
Sanjeev Gunawardena, PhD
Abstract
This thesis analyzes Spreading Code Authentication (SCA) in the GPS L1C signal using the PyChips software-defined receiver (SDR)framework. Monte Carlo simulations evaluate authentication performance under varying signal conditions, assessing the impact of double-precision and quantized data on signal integrity. Results demonstrate that authentication remains achievable at low signal-to-noise ratio(SNR) conditions but introduces trade-offs in memory usage and authentication time. These findings provide insights into optimizing SCAfor resource-constrained environments, contributing to secure GPS operations in critical applications such as aviation, autonomous systems,and national defense.
AFIT Designator
AFIT-ENG-MS-25-M-037
Recommended Citation
Quinones-Ocasio, Joseph, "Statistical Analysis of Spreading Code Authentication (SCA) Performance Under Varying Signal Conditions and Marker Quantization Schemes" (2025). Theses and Dissertations. 8256.
https://scholar.afit.edu/etd/8256
Comments
An embargo was observed for this posting.
Approved for Public Release, Distribution Unlimited. PA case number 88ABW 2025-0298