FPGA (Field-Programmable Gate Array) is a reconfigurable digital processing chip used in Inertial Navigation Systems (INS) to handle real-time sensor data processing, filtering, and fusion. FPGAs offer high-speed computation, low latency, and parallel processing, making them ideal for precision navigation applications in aerospace, defense, robotics, and autonomous vehicles.
How FPGA is Used in INS?
Real-Time Sensor Fusion – Combines IMU (gyroscope & accelerometer) data, GNSS signals, and external sensors for accurate positioning.
Kalman Filtering – Performs complex error correction and drift compensation in INS.
High-Speed Parallel Processing – Handles multiple navigation calculations simultaneously, improving system responsiveness.
Customizable Algorithms – Allows users to optimize navigation filters, communication protocols, and data fusion techniques.
Advantages of FPGA in Inertial Navigation
✔ Ultra-Fast Processing – Ideal for high-dynamic navigation applications like missiles, UAVs, and submarines.
✔ Low Latency – Ensures real-time data processing, reducing navigation errors.
✔ Reconfigurable Hardware – Allows firmware updates for customized navigation algorithms.
✔ Energy Efficient – Consumes less power compared to traditional microprocessors for the same computational tasks.
FPGA vs. Other Processing Technologies in INS
