GPS Pseudorandom Code Acquisition and Tracking: A MATLAB Simulation Approach

This document explores the complete process of GPS pseudorandom code acquisition and tracking through MATLAB simulation. To establish foundational understanding, we first introduce the operating principles and architecture of GPS systems, along with the characteristics and functions of pseudorandom codes. The discussion then delves into pseudorandom code generation and acquisition processes, examining common acquisition algorithms such as parallel frequency search and serial search techniques, with MATLAB implementations demonstrating correlation-based detection methods using functions like xcorr() for code phase alignment. We further investigate signal processing methodologies in GPS tracking, covering delay-locked loops (DLL) and phase-locked loops (PLL) implementation through Simulink blocks or custom MATLAB scripts. The simulation includes performance evaluation metrics for tracking accuracy and algorithm optimization strategies using MATLAB's communication and signal processing toolboxes. Through this comprehensive study, readers will gain deeper insights into GPS pseudorandom code processing and develop practical skills for implementing and analyzing these systems using MATLAB's simulation capabilities.