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基于补充卡尔曼滤波的载波相位平滑伪距算法
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TN967.1

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A Phase-smoothed Pseudo-range Algorithm Based on Complementary Kalman Filtering
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    摘要:

    在高精度GPS接收机的基带信号处理中,利用载波相位对码伪距观测量进行平滑可以获得比伪码测量更高的精度。传统的载波相位平滑伪距算法适用于平滑历元数较少的情况,对短时多历元平滑的情况并不适用。针对这一问题,详细分析了传统载波相位平滑伪距算法在多历元平滑时所存在的不足,提出了在基带信号处理中采用补充卡尔曼滤波进行相位平滑伪距的算法,并给出了相应的数学解算过程和算法适用条件。仿真分析结果表明,由于补充卡尔曼滤波算法综合考虑了相关观测误差的影响,因此,当平滑历元数大于500时,补充卡尔曼滤波算法平滑精度要优于传统的平滑算法。

    Abstract:

    In the baseband signal processing of high precision GPS receiver, the measurement accuracy of carrier phase smoothing pseudo-code measurement is greater than that of pseudo-code measurement. The traditional phase-smoothed pseudo-range algorithm is suitable for the condition that the number of smoothing epochs is not too great, but this will not hold true in the application situation of the short time multi-epoch smoothing. So the deficiency of the traditional phase-smoothed pseudo-range algorithm is analyzed under the condition of smoothing epochs increased. The complementary Kalman filtering is then employed as a novel smoothing algorithm in comparison with the traditional one, and the corresponding mathematical analysis of complementary Kalman filtering is provided, the feasibility of the algorithm is also analyzed. The simulation results show that because the influence of all relevant errors is taken into account in the complementary Kalman filtering, its smoothing precision is higher than that of the traditional one when the number of smoothing epochs exceeds 500.

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杨春燕,吴德伟,卢艳娥,张辉.基于补充卡尔曼滤波的载波相位平滑伪距算法[J].空军工程大学学报,2008,(5):52-56

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  • 在线发布日期: 2015-11-17
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