GPS Satellite Signal Acquisition and Data Demodulation Using Simulated Satellite Data

In this work, we have successfully implemented GPS satellite signal acquisition and data demodulation using custom-generated simulated satellite data. The implementation employs a multi-stage processing pipeline: first, signal acquisition through parallel frequency and code phase search using FFT-based circular correlation; second, carrier tracking via phase-locked loops (PLL) and delay-locked loops (DLL) for precise signal synchronization. This methodology allows accurate determination of key GPS receiver parameters such as acquisition threshold, tracking loop bandwidth, and signal-to-noise ratio requirements. We believe this technique offers substantial value and guidance for GPS system development. Furthermore, the approach can be extended and optimized through enhanced signal processing algorithms like Kalman filtering for improved tracking stability and adaptive threshold techniques for dynamic signal environments. The implementation demonstrates significant potential for revolutionizing satellite navigation systems through improved acquisition sensitivity and tracking robustness. We look forward to sharing additional research findings and practical application cases regarding this technology. The code architecture incorporates modular designs for signal generation, correlation processing, and parameter estimation, allowing for easy adaptation to various GPS receiver configurations. Thank you for your interest in this advanced satellite navigation research.