KALMAN FILTERING OF DGPS POSITIONS FOR A PARALLEL TRACKING APPLICATION

S. Han; Q. Zhang; H. Noh

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KALMAN FILTERING OF DGPS POSITIONS FOR A PARALLEL TRACKING APPLICATION

机译：用于并行跟踪应用的DGPS位置的卡尔曼滤波

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A Kalman filter was developed to improve the DGPS position estimates for a parallel tracking application. Applying Kalman filtering to raw DGPS measurement data effectively removes the DGPS noise and reduces the root-mean-squared (RMS) positioning error. In our study, the maximum cross-tracking error (XTE) was reduced from 9.83 m to 2.76 m by Kalman filtering. The Kalman filter also reduced the root-mean-squared XTE from 0.58 m to 0.56 m. In the direction of travel, the Kalman filter had much smaller positioning error than the mean filter; the RMS positioning errors in the direction of travel were 1.35 m for the mean filter and 0.26 m for the Kalman filter. The GPS bias error was the major source of the cross-tracking error. Further study is recommended to estimate and reduce the GPS bias error for parallel tracking applications

机译：开发了卡尔曼滤波器，以改进用于并行跟踪应用的DGPS位置估计。将卡尔曼滤波应用于原始DGPS测量数据可有效消除DGPS噪声并减少均方根（RMS）定位误差。在我们的研究中，通过卡尔曼滤波将最大交叉跟踪误差（XTE）从9.83 m减小到2.76 m。卡尔曼滤波器还将均方根XTE从0.58 m减少到0.56 m。在行进方向上，卡尔曼滤波器的定位误差比均值滤波器小得多。对于平均滤波器，行进方向上的RMS定位误差为1.35 m，对于卡尔曼滤波器，为0.26 m。 GPS偏差误差是交叉跟踪误差的主要来源。建议进一步研究以估计和减少GPS偏置误差，以用于并行跟踪应用

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《Transactions of the ASABE》 |2002年第3期|p.553-559|共7页
作者
S. Han; Q. Zhang; H. Noh;
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作者单位

Shufeng Han , ASAE Member Engineer , Engineering Scientist, John Deere Ag Management Solutions, Urbandale, Iowa;

Qin Zhang , ASAE Member Engineer , Associate Professor;

and Hyun Kwon Noh , ASAE Student Member , Graduate Student;

Department of Agricultural Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois. Corresponding author : Shufeng Han, John Deere Ag Management Solutions, 4140 114th Street, Urbandale, IA 50322;

phone 515-331-4675;

fax 515-331-4641 email: HanShufeng@JohnDeere.com.;

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原文格式 PDF
正文语种 eng
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关键词
Global positioning system; Precision agriculture; Parallel tracking; Filtering;

机译：全球定位系统;精准农业;并行跟踪;筛选;

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专利

1. Kalman filtering of DGPS positions for a parallel tracking application [J] . Han S, Zhang Q, Noh H Transactions of the ASABE . 2002,第3期

机译：用于并行跟踪应用的DGPS位置的卡尔曼滤波
2. Neural Network Aided Adaptive Extended Kalman Filtering Approach for DGPS Positioning [J] . Dah-Jing Jwo, Hung-Chih Huang The Journal of Navigation . 2004,第3期

机译：DGPS定位的神经网络辅助自适应扩展卡尔曼滤波方法
3. An Analysis of the Kalman, Extended Kalman, Uncented Kalman and Particle Filters with Application to DOA Tracking [J] . Venu Madhava M, Jagadeesha S N, Yerriswamy T Signal & Image Processing : An International Journal (SIPIJ) . 2017,第6期

机译：卡尔曼，扩展卡尔曼，无味卡尔曼和粒子滤波的分析及其在DOA跟踪中的应用
4. A Low-Cost Positioning System for Parallel Tracking Applications of Agricultural Vehicles by Using Kalman Filter [C] . Fangming Zhang, Ximing Feng, Yuan Li, IFIP TC 5/SIG 5.1 conference on computer and computing technologies in agriculture;CCTA 2011 . 2011

机译：卡尔曼滤波器的农用车并行跟踪应用低成本定位系统
5. H(infinity)/H(2)/Kalman filtering of linear dynamical systems via variational techniques with applications to target tracking . [D] . Rawicz, Paul Lawrence. 2000

机译：线性动态系统的H（无限）/ H（2）/卡尔曼滤波的变分技术及其在目标跟踪中的应用。
6. Global Systems for Mobile Position Tracking Using Kalman and Lainiotis Filters [O] . Nicholas Assimakis, Maria Adam -1

机译：使用Kalman和Lainiotis滤波器的全球移动位置跟踪系统
7. A Low-Cost Positioning System for Parallel Tracking Applications of Agricultural Vehicles by Using Kalman Filter [O] . Zhang, Fangming, Feng, Ximing, Li, Yuan, 2011

机译：卡尔曼滤波器的农用车并行跟踪应用低成本定位系统

KALMAN FILTERING OF DGPS POSITIONS FOR A PARALLEL TRACKING APPLICATION

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