| 基于改进粒子滤波算法的GPS非高斯伪距误差修正 |
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| 引用本文： | 涂刚毅,金世俊,祝雪芬,宋爱国.基于改进粒子滤波算法的GPS非高斯伪距误差修正[J].电子测量与仪器学报,2009,23(6):24-28. |
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| 作者姓名： | 涂刚毅 金世俊 祝雪芬 宋爱国 |
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| 作者单位： | 东南大学仪器科学与工程学院,南京,210096 |
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| 基金项目： | 教育部重大培育(编号:708045)资助项目;;江苏省“六大高峰人才”资助项目;;东南大学优秀青年教师基金(编号:4022001004)资助项目 |
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| 摘 要： | 针对城市环境中由于受到多径效应影响,GPS伪距误差呈非高斯分布的问题,本文通过对实测数据进行分析,在建立正确的伪距误差分布模型的基础上,提出了一种改进粒子滤波修正算法,用于优化PVT解算结果,提高了GPS在城市环境中定位的精度。并通过与卡尔曼滤波定位优化算法结果进行比较,验证了此算法的有效性。
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| 关 键 词： | GPS 粒子滤波器 伪距 定位精度 |
Compensation of GPS non-Gaussian pseudorange error based on improved particle filter algorithm |
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| Tu Gangyi,Jin Shijun,Zhu Xuefen,Song Aiguo.Compensation of GPS non-Gaussian pseudorange error based on improved particle filter algorithm[J].Journal of Electronic Measurement and Instrument,2009,23(6):24-28. |
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| Authors: | Tu Gangyi Jin Shijun Zhu Xuefen Song Aiguo |
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| Affiliation: | School of Instrument Science and Engineering;Southeast University;Nanjing 210096;China |
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| Abstract: | Due to the multi-path effect in urban environment, GPS pseudorange error appears non-Gaussian error distribution. In this paper, the correct pseudorange error distribution model has been established according to the analysis of the measured data. Based on this non-Gaussian model, an improved particle filter algorithm is implemented to compensate the non-Gaussian pseudorange error and optimize the estimations of PVT. The accuracy of GPS urban positioning is improved and the validity of this algorithm has bee... |
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| Keywords: | GPS particle filter pseudorange positioning accuracy |
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