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Realization of Vehicle SINS Four-Position Alignment Method Based on FPGA and DSP

机译:基于FPGA和DSP的汽车捷联惯导四位置对准方法的实现

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Accuracy of initial alignment has a direct impact on the accuracy of SINS navigation. Kalman filtering technology can realize SINS optimal estimation, but fixed position SINS is unobservable. The four-position alignment method can make SINS become completely observable, and improve the precision of SINS initial alignment. In this chapter, data acquisition and navigation calculation system were designed based on FPGA and DSP. FPGA acquired IMU data, generated PWM signal to make IMU base rotate, and realized LAN interface circuit to transmit IMU measurement data to CPU. DSP realized the four-position alignment method and navigation calculation. The real vehicle experiment verified the feasibility of DSP and FPGA system and validity of the four-position alignment algorithm.
机译:初始对准的准确性直接影响SINS导航的准确性。卡尔曼滤波技术可以实现对SINS的最优估计,但是固定位置的SINS却无法观测。四位置对准方法可以使SINS变得完全可观察,并提高了SINS初始对准的精度。本章基于FPGA和DSP设计了数据采集和导航计算系统。 FPGA采集IMU数据,生成PWM信号使IMU基座旋转,并实现LAN接口电路将IMU测量数据传输到CPU。 DSP实现了四位置对准方法和导航计算。实际车辆实验验证了DSP和FPGA系统的可行性以及四位置对准算法的有效性。

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