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This research focuses on developing a compact, low-power GPS-INS system by addressing accuracy and dependency challenges through an optimized DSP-FPGA approach. It introduces innovative hardware features, including a nine-state Kalman filter, with detailed implementation using GIDAC, NPC, FPGA, and ADC technologies. The system's performance is evaluated in various test scenarios, showcasing improvements in computation efficiency and power consumption compared to traditional methods. The...