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基于改进的强跟踪滤波GPS校频系统误差处理方法

3129    2016-09-18

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作者:杨少尘, 胡昌华, 李红增, 周志杰, 杜党波

作者单位:火箭军工程大学控制工程系, 陕西 西安 710025


关键词:GPS校频;晶振;强跟踪滤波;野值


摘要:

GPS信号校准晶振信号频率源系统可输出高准确度时频信号,但GPS信号在传输和接收过程中会产生随机抖动或野值,给系统频率校准带来误差。为减小GPS信号随机抖动和野值所带来的影响,根据GPS信号与晶振信号准确度互补的特点,建立GPS信号校准晶振信号频差模型,利用强跟踪滤波算法对频差信号误差进行修正。针对GPS信号中存在的野值问题,对强跟踪滤波算法进行改进,根据残差变化率的大小判别野值,利用替代法对野值加以修正,提高滤波准确度。将该方法应用于某GPS信号校准晶振信号频率源系统,可使系统输出频率准确度达到10-11量级。


Method for error correcting of frequency source calibrated by GPS based on improved strong tracking filter

YANG Shaochen, HU Changhua, LI Hongzeng, ZHOU Zhijie, DU Dangbo

Dept of Control Engineering, Rocket Force University of Engineering, Xi'an 710025, China

Abstract: GPS-signal calibrating crystal oscillator frequency source can output high-precision frequency signal. However, errors appear in the system because of the influence of random jitter and outliers effecting to GSP-signals in the transmitting and receiving process. To decrease the effect of random jitter and outliers, according to the complementarities between GPS-signal and crystal oscillator, a frequency difference model for GPS-signal calibrating crystal oscillator is proposed, applying strong tracking filter algorithm to correct errors of frequency difference signal. In order to solve the outliers problem, improving the strong tracking filter and according to the variety of residual difference, outliers can be corrected with substitution method, which can improve the precision of strong tracking filter algorithm. Applying the proposed method to a GPS-signal calibrating crystal oscillator frequency source, the result shows that the system can output a high-precision frequency of 10-11 through the improved strong tracking filter algorithm.

Keywords: GPS calibrating frequency;crystal oscillator;strong tracking filter;outliers

2016, 42(8): 13-16,63  收稿日期: 2016-4-12;收到修改稿日期: 2016-5-27

基金项目: 国家杰出青年基金项目(61025014);国家自然科学基金项目(61573365)

作者简介: 杨少尘(1991-),男,北京市人,硕士研究生,专业方向为故障诊断与预测。

参考文献

[1] SANLEM D, DRISCOLL O C, LACHAPELLE G. Metho dology for comparing two carrier phase tracking techniques[J]. GPS Solutions,2012,16(2):197-207.
[2] HAN H Z, WANG J, WANG J, et al. Reliable partial ambiguity resolution for single-frequency GPS/BDS and INS integration[J]. GPS Solutions,2016,20(14):1-14.
[3] 倪媛媛,胡永辉,何在民. 北斗卫星校准铷钟单元的设计与实现[J]. 测试技术学报,2011,15(2):56-59.
[4] 党晓圆,单庆晓,肖昌炎,等. 基于GPS与北斗双模授时的压控晶振校频系统的研究与设计[J]. 计算机测量与控制,2009,17(11):2246-2248.
[5] 曾祥君,尹项根,LI K K,等. GPS时钟在线监测与修正方法[J]. 中国电机工程学报,2002,22(12):41-46.
[6] 宁玉磊,胡昌华,李红增,等. 基于M估计卡尔曼滤波的GPS校频系统频差处理方法研究[J]. 电光与控制,2015, 22(12):72-75.
[7] 孙国强,黄蔓云,卫志农,等. 基于无迹变换强跟踪滤波的发电机动态状态估计[J]. 中国电机工程学报,2016,36(3):615-623.
[8] CHEN X Y, SHEN C, ZHANG W B, et al. Novel hybrid of strong tracking Kalman filter and wavelet neural network for GPS/INS during GPS outages[J]. Measurement,2013,46(10):3847-3854.
[9] 张帆,卢峥. 自适应抗野值Kalman滤波[J]. 电机与控制学报,2007,11(2):188-190.
[10] SONG J, AN Q, LIU S B. A high-resolution time to digital converter implemented in field programmable gate arrays[J]. IEEE Trans on Nuclear Science,2006,53(1):236-241.
[11] MOSAVI M R. Use of accurate GPS timing based on radial basis probabilistic neural network in electric systems[C]//International Conference on Electrical and Control Engineering,2010:2572-2575.
[12] 杜党波,张伟,胡昌华,等. 含缺失数据的小波-卡尔曼滤波故障预测方法[J]. 自动化学报,2014,40(10):2115-2125.
[13] 钱华明,葛磊,黄蔚. 一种改进的强跟踪滤波算法[J]. 应用科学学报,2015,33(1):32-40.
[14] 冯鹏程,胡高歌,高社生. 基于新息正交原理的抗差UKF及其在INS/GPS组合导航中的应用[J]. 测控技术,2015,34(10):92-95.