GPS Baseband Acquisition Model with Parallel Code Phase Search

I have developed a complete GPS baseband acquisition model using SIMULINK. The model implements a parallel code phase search acquisition method, where I configured the signal source with modified P-code parameters. This model effectively simulates the GPS signal acquisition process, enabling deeper understanding and research into GPS technology principles and performance characteristics. The implementation features correlation-based parallel search algorithms that simultaneously evaluate multiple code phases using optimized digital signal processing blocks. Through this model, we can thoroughly analyze GPS baseband processing stages, including critical steps such as signal acquisition and demodulation. The SIMULINK architecture employs specialized blocks for digital down-conversion, correlation processing, and threshold detection algorithms. Furthermore, by adjusting various parameters like signal-to-noise ratios, Doppler shifts, and code phase increments, we can simulate diverse GPS signal conditions and acquisition scenarios. This facilitates comprehensive investigation into GPS system performance and reliability under different operational conditions. The model's development employs systematic verification methods including Monte Carlo simulations for acquisition probability analysis. This implementation provides significant value for advanced GPS technology research and practical applications, particularly in satellite navigation system design and receiver development.