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Deeply Integrated GNSS/Gyro Attitude Determination System

机译:深度集成的GNSS /陀螺仪姿态确定系统

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摘要

Attitude determination systems based on Global Navigation Satellite Systems (GNSS) work on principle of phase interferometer, using multiple receiving antennas. They rely on a good quality of carrier phase tracking, that is not the case in real dynamic environment with low signal-to-noise ratio (SNR), for example, in a ground vehicle moving through an urban area or forest. There is still a problem in providing a GNSS attitude in such common conditions. This research is focused on improving sensitivity (i.e., the capability of providing attitude at a low SNR) and the reliability of the GNSS attitude determination system. It is contrasted with the majority of publications, where precision or computational efficiency is the main goal, but sensitivity and reliability are out of their scope. In the proposed system, sensitivity improved by using two measures: (a) tracking only phase differences instead of tracking full carrier phases—this is more sensitive due to the lower dynamics of the underlying process, and (b) using deep integration with gyroscope, where all phase differences are tracked in a vector gyro-aided loop closed on user’s attitude in state vector. The algorithm synthesis is given, and simulation results are presented in this article. This shows that the minimal working SNR is lowered from 27–36 dBHz (typical) down to 20 dBHz, even with a low-cost MEMS gyroscope.
机译:基于全球导航卫星系统(GNSS)的姿态确定系统使用多个接收天线,按照相位干涉仪的原理工作。它们依赖于高质量的载波相位跟踪,而在具有低信噪比(SNR)的实际动态环境中(例如,在穿越市区或森林的地面车辆中)则不是这种情况。在这种常见条件下提供GNSS姿态仍然存在问题。这项研究的重点是提高灵敏度(即以低SNR提供姿态的能力)和GNSS姿态确定系统的可靠性。与大多数出版物相反,在大多数出版物中,精度或计算效率是主要目标,但是灵敏度和可靠性超出了它们的范围。在提出的系统中,通过两种措施提高了灵敏度:(a)仅跟踪相位差而不是跟踪完整的载波相位-由于底层过程的动态性较低,因此灵敏度更高;(b)与陀螺仪深度集成,其中所有相位差都在矢量陀螺辅助回路中进行跟踪,该回路在用户对状态矢量的态度上是闭合的。给出了算法的综合,并给出了仿真结果。这表明,即使使用低成本的MEMS陀螺仪,最小工作SNR也会从27–36 dBHz(典型值)降低至20 dBHz。

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