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Improving the Performance of INS/GNSS System using the Approach of Carrier Phase Measurements

机译:使用载波相位测量方法提高INS / GNSS系统的性能

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This paper discusses the techniques of attitude, velocity ad position estimation from GNSS carrier phase measurements, and investigates the performance of the lower precision MEMS based INS/GNSS system based on carrier phase measurements. Generally, a GPS receiver estimates the position and velocity from code phase and Doppler measurements. Double differenced carrier phase measurements provide more accurate velocity and position estimation compared to code and Doppler measurements. However, for position measurement, the integer ambiguity is required to be removed. Multiples antennae approach is used to derive the attitude information from carrier phase measurements in order to control the large initial misalignment angles for initialization of the integration process or to utilize during benign dynamics. Lever arm effect is considered to compensate for the separation of GNSS antenna and IMU location. The derived three GNSS observables are used to correct the INS through optimal Kalman filtering in a closed loop. Simulation results indicates the effectiveness of the integrated system for airborne as well as for land navigation vehicles.
机译:本文讨论了基于GNSS载波相位测量的姿态,速度和位置估计技术,并研究了基于载波相位测量的基于MEMS的低精度INS / GNSS系统的性能。通常,GPS接收机根据码相位和多普勒测量来估计位置和速度。与码和多普勒测量相比,双差载波相位测量提供了更准确的速度和位置估计。然而,对于位置测量,需要去除整数模糊度。为了控制积分过程的初始化或在良性动力学期间利用大的初始失准角,采用了多天线方法从载波相位测量中得出姿态信息。杠杆效应被认为可以补偿GNSS天线和IMU位置的分离。导出的三个GNSS可观测值用于通过闭环中的最佳卡尔曼滤波来校正INS。仿真结果表明了该集成系统对机载和陆地导航车辆的有效性。

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