GPS Output Signal Processing considering both Correlated/White Measurement Noise for Optimal Navigation Filtering
GPS Output Signal Processing considering both Correlated/White Measurement Noise for Optimal Navigation Filtering
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DOI：
10.5139/ijass.2012.13.4.499
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发表时间：
2012-12-01
影响因子：
1.7
通讯作者：
Suk, Jinyoung
中科院分区：
文献类型：
--
作者：
Kim, Do-Myung;Suk, Jinyoung
本文描述了单频独立GPS（全球定位系统）接收机速度和位置信息的动态建模。在静态条件下，利用连续时域功率谱密度（PSD）估计的非参数方法，将位置误差动态模型辨识为一阶/二阶传递函数，将速度误差模型辨识为带限高斯白色噪声。在GPS误差模型辨识的基础上，提出了一种同时考虑相关/白色测量噪声的卡尔曼滤波算法。通过数值仿真验证了所提出的卡尔曼滤波方法的性能。
In this paper, a dynamic modeling for the velocity and position information of a single frequency stand-alone GPS(Global Positioning System) receiver is described. In static condition, the position error dynamic model is identified as a first/second order transfer function, and the velocity error model is identified as a band-limited Gaussian white noise via non-parametric method of a PSD(Power Spectrum Density) estimation in continuous time domain. A Kalman filter is proposed considering both correlated/white measurements noise based on identified GPS error model. The performance of the proposed Kalman filtering method is verified via numerical simulation.