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Performance assessment of a low-cost inertial measurement unit based ultra-tight global navigation satellite system/inertial navigation system integration for high dynamic applications

机译:基于低成本惯性测量单元的超紧密全球导航卫星系统/惯性导航系统集成的性能评估

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摘要

Owing to large Doppler shifts, the signal of global navigation satellite system is difficult to be acquired and tracked by a receiver for high dynamic vehicles, such as missiles, aircrafts and spacecrafts. Hence, the inertial navigation system is usually used to aid the acquisition and tracking. Compared with the traditional scale tracking, the vector tracking has better performances in the navigation robustness and the immunity to interferences. Although the vector tracking aided by a low-cost inertial measurement unit (IMU) is not as good as the one aided by high-grade IMU in the tracking performance and stability, the low-cost IMU based vector tracking loop has lower price, smaller size and lighter weight. Hence, it is valuable to reduce the expense of ultra-tight integration system. In this paper, an ultra-tight integration system using the low-cost IMU based vector tracking is proposed to achieve the vector tracking and navigation for high dynamic applications. As the critical factor in the ultra-tight integration, the Doppler frequency shift is estimated and compensated to achieve the acquisition and tracking of every satellite. Then, a vector tracking Kalman filter is designed to implement the vector tracking and integrated navigation. To verify the effectiveness of the ultra-tight integration, an experiment system is built and a high dynamic scenario is simulated. The results prove that the designed ultra-tight integration system has perfect tracking and navigation performances for high dynamic applications.
机译:由于大的多普勒频移,全球导航卫星系统的信号很难被用于导弹,飞机和航天器等高动力车辆的接收机获取和跟踪。因此,惯性导航系统通常用于辅助采集和跟踪。与传统的比例跟踪相比,矢量跟踪在导航鲁棒性和抗干扰性方面具有更好的性能。尽管低成本惯性测量单元(IMU)辅助的矢量跟踪在跟踪性能和稳定性上不如高级IMU辅助的矢量跟踪,但基于低成本IMU的矢量跟踪环价格更低,体积更小尺寸更轻。因此,减少超紧密集成系统的费用是有价值的。本文提出了一种基于低成本IMU的矢量跟踪超紧密集成系统,以实现高动态应用的矢量跟踪和导航。作为超紧密集成的关键因素,对多普勒频移进行了估计和补偿,以实现对每颗卫星的采集和跟踪。然后,设计了矢量跟踪卡尔曼滤波器,以实现矢量跟踪和集成导航。为了验证超紧密集成的有效性,构建了一个实验系统并模拟了高动态场景。结果证明,所设计的超紧密集成系统具有良好的跟踪和导航性能,适用于高动态应用。

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