基于ESMF 算法的GPS 信号多普勒频率估计
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作者单位:

1. 西安理工大学自动化与信息工程学院,西安710048;
2. 西安卫星测控中心, 航天器在轨故障诊断与维修重点实验室,西安710032.

作者简介:

江涛

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中图分类号:

TP273

基金项目:

国家自然科学基金项目(61273127, 61304204);航天器在轨故障诊断与维修实验室开放课题(SDML OF2015004);国家自然科学基金重点项目(61533014);陕西省科技创新团队基金项目(2013KCT-04).


Estimated doppler frequency of GPS signal based on ESMF
Author:
Affiliation:

1. School of Automation and Information Engineering,Xi’an University of Technology,Xi’an 710048,China;
2. Key Laboratory of Spacecraft In-orbit Fault Diagnosis and Repair,Xi’an Satellite Control Center,Xi’an 710032, China.

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    摘要:

    针对GPS 接收机对载波信号的跟踪性能受到不同类型噪声的影响, 且这些噪声的统计特性很难得到的问题, 提出一种基于扩展集员滤波(ESMF) 的解决方法. 该方法根据载波信号中噪声统计特性未知但有界(UBB) 的特点, 设定合理的噪声边界, 将UBB噪声包含在椭球集合内; 利用集员的思想实现载波信号多普勒频率的在线非线性估 计, 且估计过程中同时能够检测系统坏值的发生时刻. 仿真中, 模型选取三维空间运动的载体. 仿真结果表明, ESMF在处理该模型时是一种有效的鲁棒估计算法.

    Abstract:

    For the problem that GPS receivers tracking performance of the carrier signal is affected by different types of noises, and the statistical properties of the noises are difficult to obtain, a solution method based on the extended set- membership filter(ESMF) is proposed. According to the characteristics of the noise in the carrier signal which is unknown but bounded(UBB), a reasonable noise boundary contained in the ellipsoid set is set. Then the idea of set-membership is used to achieve online nonlinear estimation of the Doppler frequency of the carrier signal. In the process of estimation, it can detect the moment that bad values occurred simultaneously. Three-dimensional space movement of the carrier is selected as the simulation model. Simulation results show that, when dealing with this model, ESMF is an effective robust estimation algorithm.

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引用本文

江涛 钱富才.基于ESMF 算法的GPS 信号多普勒频率估计[J].控制与决策,2016,31(2):378-384

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  • 收稿日期:2015-01-22
  • 最后修改日期:2015-05-05
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  • 在线发布日期: 2016-02-20
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