多终端五阶强跟踪容积卡尔曼滤波实时定轨

李兆铭; 杨文革; 丁丹; 廖育荣

doi:10.3788/OPE.20172508.2195

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多终端五阶强跟踪容积卡尔曼滤波实时定轨

信息科学 | 更新时间：2020-07-07

- 多终端五阶强跟踪容积卡尔曼滤波实时定轨
- Fifth-degree strong tracking cubature Kalman filter for real-time orbit determination by multiple terminals
- 光学精密工程 2017年25卷第8期页码：2195-2203
- 作者机构：
  
  1.装备学院研究生院, 北京 101416
  2.装备学院光电装备系, 北京 101416
- 作者简介：
  
  [ "李兆铭(1989-), 男, 黑龙江双鸭山人, 博士研究生, 2011年于哈尔滨工业大学获得学士学位, 2014年于装备学院获得硕士学位, 现为装备学院博士研究生, 主要从事航天测控最优状态估计方法的研究。E-mail:lizhaomingzbxy@163.com" ]
  杨文革(1966-), 男, 江西金溪人, 博士, 教授, 博士生导师, 1994年于国防科技大学获得学士学位, 1997年于北京航空航天大学获得硕士学位, 2000年于北京理工大学获得博士学位, 主要从事航天测控、雷达信号处理技术研究。E-mail:wengeyang_3@163.com
- 基金信息：
  
  国家863高技术研究发展计划资助项目(2015AA7026085)
- DOI：10.3788/OPE.20172508.2195
  中图分类号： V249.3;TH76
- 收稿日期：2017-03-06，
  
  录用日期：2017-4-13，
  
  纸质出版日期：2017-08-25
- 稿件说明：
移动端阅览
李兆铭, 杨文革, 丁丹, 等. 多终端五阶强跟踪容积卡尔曼滤波实时定轨[J]. 光学精密工程, 2017,25(8):2195-2203.

Zhao-ming LI, Wen-ge YANG, Dan DING, et al. Fifth-degree strong tracking cubature Kalman filter for real-time orbit determination by multiple terminals[J]. Optics and precision engineering, 2017, 25(8): 2195-2203.
李兆铭, 杨文革, 丁丹, 等. 多终端五阶强跟踪容积卡尔曼滤波实时定轨[J]. 光学精密工程, 2017,25(8):2195-2203. DOI： 10.3788/OPE.20172508.2195.

Zhao-ming LI, Wen-ge YANG, Dan DING, et al. Fifth-degree strong tracking cubature Kalman filter for real-time orbit determination by multiple terminals[J]. Optics and precision engineering, 2017, 25(8): 2195-2203. DOI： 10.3788/OPE.20172508.2195.

摘要

为了提高多手持终端对卫星脉冲机动轨道的实时确定精度，并降低定轨精度对滤波初值的敏感性，提出一种五阶强跟踪球面单形-径向容积卡尔曼滤波（5-STSSRCKF）方法。采用

维正则单形变换群和矩匹配法推导五阶球面单形-径向容积准则，并将该准则嵌入强跟踪滤波（STF）框架。利用STF的等价表示计算次优渐消因子，实现了在滤波稳定时在线实时调整增益矩阵，克服了残差增大时增益矩阵仍保持极小值的缺点，提高了对系统突变状态的跟踪能力。进行了仿真实验，结果表明，当滤波初值误差增大时，已有方法的定轨精度降低为1 798.199 m，而提出的5-STSSRCKF的定轨精度可以维持在8.688 m；当卫星进行脉冲机动时，已有方法不具备对机动轨道状态的跟踪能力，而5-STSSRCKF的定轨精度仍然维持在8.976 m。实验显示，5-STSSRCKF对滤波初值不敏感，并且对卫星脉冲机动轨道的实时确定精度更高。

Abstract

To improve real-time determination accuracy of hand-held terminal for a satellite impulse maneuver orbit and to decrease the sensibility of orbit determination precision for an initial filtering value

a Fifty-degree Strong Tracking Spherical Simplex-radial Cubature Kalman Filter(5-STSSRCKF) method was proposed.

-dimensional regular simplex transformation group and moment matching method were used to deduce fifth-degree spherical simplex-radial cubature criterion

then the criterion was embedded into the Strong Tracking Filter Framework(STF). Equivalent representation of the STF was used to calculate suboptimal fading factors. By which

the gain matrix could be online adjusted in real time when the filter was stable.Thus

the disadvantage that gain matrix still maintained small minimal value at the time of increasing residual error was overcome and the tracking capacity for sudden change of system was improved. The simulation were performed

and the experiments experimental results show that if the error of the initial filtering value is increased the orbit determination accuracy of the existing method decreases

while that of to 1 798.199 m; 5-STSSRCKF can be maintained at 8.688 m; when the satellite is subject to impulse maneuver

these existing methods can not be used to track the maneuver orbit

the orbit determination accuracy of 5-STSSRCKF is still maintained at 8.976 m.These results show that 5-STSSRCKF is not sensitive to initial filtering value and has higher real-time determination accuracy for satellite impulse maneuver orbits.

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references

李志军, 侯黎强.一种用于实时轨道确定的NPF-SRCKF滤波算法[J].宇航学报, 2014, 35(7):811-817.

LI ZH J, HOU L Q. An improved NPF-SRCKF based algorithm for spacecraft orbit determination[J]. Journal of Astronautics, 2014, 35(7):811-817. (in Chinese)

廖育荣, 丁丹, 柴黎, 等.基于手持终端的天基侦察信息战术应用研究[J].装备学院学报, 2016, 27(5):64-67.

LIAO Y R, DING D, CHAI L, et al.. Space-based information tactical application based on hand-held terminal[J]. Journal of Equipment Academy, 2016, 27(5):64-67.

BOLOGNANI S, TUBIANA L, ZIGLIOTTO M. Extended Kalman filter tuning in sensorless PMSM drives[J]. IEEE Transactions on Industry Applications, 2003, 39(6):1741-1747.

周东华, 席裕庚, 张钟俊.非线性系统带次优渐消因子的扩展卡尔曼滤波[J].控制与决策, 1990(5):1-6.

ZHOU D H, XI Y G, ZHANG ZH J. Suboptimal fading extended Kalman filtering for nonlinear systems[J]. Control and Decision, 1990(5):1-6. (in Chinese)

HU Y Y, ZHOU D H. Time-varying bias estimation for asynchronous multi-sensor multi-target tracking systems using STF[J]. Chinese Journal of Electronics, 2013, 22(3):525-529.

JULIER S, UHLMANN J, DURRANT-WHYTE H F. A new method for the nonlinear transformation of means and covariances in filters and estimators[J]. IEEE Transactions on Automatic Control, 2000, 45(3):477-482.

ARASARATNAM I, HAYKIN S. Cubature Kalman filters[J]. IEEE Transactions on Automatic Control, 2009, 54(6):1254-1269.

肖延国, 魏建明, 邢涛, 等.分布式Unscented粒子滤波跟踪[J].光学精密工程, 2009, 17(7):1707-1713.

XIAO Y G, WEI J M, XING T, et al.. Target tracking using distributed unscented particle filter in sensor network[J]. Opt. Precision Eng., 2009, 17(7):1707-1713. (in Chinese)

张百强, 储海荣, 孙婷婷, 等.应用RB无迹卡尔曼滤波组合导航提高GPS重获信号后的导航精度[J].光学精密工程, 2016, 24(4):835-843.

ZHANG B Q, CHU H R, SUN T T, et al.. Precision improvement methodology for INS/GPS after GPS outage using RB-UKF[J]. Opt. Precision Eng., 2016, 24(4):835-843. (in Chinese)

贾瑞才.重力/地磁辅助的欧拉角无迹卡尔曼滤波姿态估计[J].光学精密工程, 2014, 22(12):3280-3286.

JIA R C. Attitude estimation base on gravity/magnetic assisted Euler angle UKF[J]. Opt. Precision Eng., 2014, 22(12):3280-3286. (in Chinese)

ZAREI J, SHOKRI E. Convergence analysis of non-linear filtering based on cubature Kalman filter[J]. IET Science, Measurement & Technology, 2015, 9(3):294-305.

赵兵, 曹剑中, 杨洪涛, 等.改进的平方根容积卡尔曼滤波及其在POS中的应用[J].红外与激光工程, 2015, 44(9):2819-2824.

ZHAO B, CAO J ZH, YANG H T, et al.. Approved square root cubature Kalman filtering and its application to POS[J]. Infrared and Laser Engineering, 2015, 44(9):2819-2824. (in Chinese)

李敏, 王松艳, 张迎春, 等.改进的强跟踪平方根UKF在卫星导航中应用[J].系统工程与电子技术, 2015, 37(8):1858-1865.

LI M, WANG S Y, ZHANG Y CH, et al.. Satellite autonomous navigation filtering algorithm based on improved strong tracking square-root UKF[J]. Systems Engineering and Electronics, 2015, 37(8):1858-1865. (in Chinese)

王宏健, 傅桂霞, 李娟, 等.基于强跟踪CKF的无人水下航行器SLAM[J].仪器仪表学报, 2013, 34(11):2542-2550.

WANG H J, FU G X, LI J, et al.. Strong tracking CKF based SLAM method for unmanned underwater vehicle[J]. Chinese Journal of Scientific Instrument, 2013, 34(11):2542-2550. (in Chinese)

HUANG W, XIE H S, SHEN C, et al.. A robust strong tracking cubature Kalman filter for spacecraft attitude estimation with quaternion constraint[J]. Acta Astronautica, 2016, 121:153-163.

JIA B, XIN M, CHENG Y. High-degree cubature Kalman filter[J]. Automatica, 2012, 49(2):510-518.

赵曦晶, 刘光斌, 汪立新, 等.五阶容积卡尔曼滤波算法及其应用[J].红外与激光工程, 2015, 44(4):1377-1381.

ZHAO X J, LIU G B, WANG L X, et al.. Fifth degree cubature Kalman filter algorithm and its application[J]. Infrared and Laser Engineering, 2015, 44(4):1377-1381. (in Chinese)

WANG S Y, FENG J C, CHI K T. Spherical simplex-radial cubature Kalman filter[J]. IEEE Signal Processing Letters, 2014, 21(1):43-46.

朱奇光, 袁梅, 王梓巍, 等.机器人球面单径容积FastSLAM算法[J].机器人, 2015, 37(6):708-717.

ZHU Q G, YUAN M, WANG Z W, et al.. A robot spherical simplex-radial cubature FastSlam algorithm[J]. Robot, 2015, 37(6):708-717. (in Chinese)

王向磊, 丁硕, 苏牡丹. UKF在基于地磁场的自主导航中的应用[J].测绘科学, 2011, 36(6):103-105.

WANG X L, DING SH, SU M D. Application of UKF in geomagnetic field based autonomous navigation[J]. Science of Surveying and Mapping, 2011, 36(6):103-105. (in Chinese)

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