A Target Motion Filtering Method for On-axis Control of Electro-optical Tracking Platform

doi:10.3969/j.issn.1000-1093.2019.03.013

Abstract

Abstract: Target motion estimation is the key factor of on-axis control of electro-optical-tracking platform. For the filtering accuracy of target motion, a fusion filtering method based on grey prediction model and Kalman theory is proposed. A grey prediction model is set up online in real time by using a small amount of target motion in the first few moments and replaces the target state prediction equation of Kalman filter，which avoids some filtering error due to presupposion of target motion model. A residual prediction model is also built online by using the residual sequence which is generated by the predicted and estimated data. The predicted residual value is used to modify the grey prediction value in real time. The simulated results show that the prediction accuracy of the grey model based on residual modification can be increased by 60%; compared with some other filtering methods, the proposed fusion filtering method has better filtering effect and more accurate estimation. Key

Key words: electro-opticaltrackingplatform, on-axiscontrol, Kalmanfilter, greypredictionmodel, residualmodification

CLC Number:

TP271⁺.4

L Mingming, LIU Rongzhong, HOU Yuanlong, GAO Qiang, WANG Li. A Target Motion Filtering Method for On-axis Control of Electro-optical Tracking Platform[J]. Acta Armamentarii, 2019, 40(3): 548-554.

References

［1］方宇超, 李梦雪, 车英,等. 车载光电侦察平台视轴稳定技术研究[J]. 光学精密工程, 2018, 26(2): 410-417.
FANG Y C, LI M X, CHE Y, et al. Study on boresight stabilized technology of vehicle photoelectric reconnaissance platform [J]. Optics and Precision Engineering, 2018, 26(2): 410-417. (in Chinese)
[2］闵超波, 张俊举, 常本康,等. Kalman滤波和PI控制融合的光电转台控制方法研究[J]. 兵工学报, 2013, 34(10): 1334-1340.
MIN C B, ZHANG J J, CHANG B K,et al. A method of controlling an optical-electronic turret by fusion of PI controller and Kalman filter [J]. Acta Armamentarii, 2013, 34(10): 1334-1340. (in Chinese)
[3］朱枫, 张葆, 李贤涛,等. 基于强跟踪卡尔曼滤波的陀螺信号处理[J]. 吉林大学学报(工学版), 2017, 47(6): 1868-1875.
ZHU F, ZHANG B, LI X T, et al. Gyro signal processing based on strong tracking Kalman filter [J]. Journal of Jilin University (Engineering and Technology Edition), 2017, 47(6): 1868-1875. (in chinese)
[4］杨宏韬. 基于多信息源数据融合的光电跟踪系统精度提高方法的研究[D]. 长春: 中国科学院研究生院, 2016: 22-28.
YANG H T. Research on the method of improving accuracy of photoelectric tracking system based on multi-source data fusion [D]. Changchun: Graduate School, Chinese Academy of Sciences, 2016: 22-28. (in Chinese)
[5］李克玉, 田福庆. 光电跟踪系统的共轴跟踪控制技术研究[J]. 强激光与粒子束, 2013, 25(8): 2106-2110.
LI K Y, TIAN F Q. On-axis tracking control technology of electro-optical tracking system [J]. High Power Laser and Particle Beams, 2013, 25(8): 2106-2110. (in Chinese)
[6］王威立, 郭劲, 曹立华,等. 基于神经网络极限学习机数据融合的共轴跟踪[J]. 光学精密工程, 2013, 21(3): 751-758.
WANG W L, GUO J, CAO L H, et al. On-axis tracking based on ELM data fusion [J]. Optics and Precision Engineering, 2013, 21(3): 751-758. (in Chinese)
[7］杨宏韬, 高慧斌, 刘鑫. 基于双重扩展卡尔曼滤波器的共轴跟踪技术研究[J]. 红外与激光工程, 2016,45(5): 1-6.
YANG H T, GAO H B, LIU X. On-axis tracking technology based on the dual extended Kalman filter [J]. Infrared and Laser Engineering, 2016, 45(5): 1-6. (in Chinese)
[8］ KALMAN R E. A new approach to linear filtering and prediction problems [J]. Journal of Basic Engineering, 1960, 82(1): 35-45.
[9］黄永梅, 马佳光, 付承毓. 目标速度预测在光电跟踪控制系统中的应用[J]. 红外与激光工程, 2004, 33(5): 477-481.
HUANG Y M, MA J G, FU C Y. Application of forecast of moving target velocity in electro-optical tracking control system [J]. Infrared and Laser Engineering, 2004, 33(5): 477-481. (in Chinese)

[10］田俊林, 胡晓阳, 游安清. 利用自适应卡尔曼滤波实现光电跟踪中的复合控制[J]. 光学精密工程, 2017, 25(7): 1941-1947.
TIAN J L，HU X Y，YOU A Q. Compound control of photoelectric tracking by using adaptive Kalman filtering algorithm [J]. Optics and Precision Engineering, 2017, 25(7): 1941-1947. (in Chinese)
[11］ PARK S T, LEE J G. Improved Kalman filter design for three dimensional radar tracking[J]. IEEE Transactions on Aerospace & Electronic Systems, 2001, 37(2): 727-739.
[12］ JULIER S J, UHLMANN J K. Unscented filtering and nonlinear estimation[J]. Proceedings of the IEEE, 2004, 92(3): 401-422.
[13］杨秀华, 陈涛, 王延风,等. 光电跟踪目标的非线性滤波算法研究[J]. 仪器仪表学报, 2004, 25(增刊1): 810-812.
YANG X H, CHEN T, WANG Y F, et al. Research on nonlinear filtering to optoelectronic target [J]. Chinese Journal of Scientific Instrument, 2004, 25(S1): 810-812. (in Chinese)
[14］罗笑冰, 王宏强, 黎湘,等. 机动目标跟踪MS模型[J]. 系统工程与电子技术, 2006, 28(6):813-815.
LUO X B, WANG H Q, LI X, et al. A MS model for tracking maneuvering targets [J]. Systems Engineering and Electronics, 2006, 28(6):813-815. (in chinese)
[15］刘望生, 李亚安, 崔琳. 高度机动目标Jerk模型及改进算法[J]. 兵工学报, 2012, 33(4):385-389.
LIU W S, LI Y A, CUI L. An improved algorithm for high maneuvering target based on Jerk model [J]. Acta Armamentarii, 2012, 33(4):385-389. (in chinese)
[16］ DENG J L. Introduction to grey system theory[J]. Journal of Grey System, 1989, 1(1):191-243.
[17］邸忆, 顾晓辉, 龙飞. 基于灰色残差修正理论的目标航迹预测方法[J]. 兵工学报, 2017, 38(3):454-459.
DI Y, GU X H, LONG F. Target track prediction method based on grey residual modification theory [J]. Acta Armamentarii, 2017, 38(3):454-459. (in Chinese)
[18］ MAZINAN A H, AMIR-LATIFI A. Applying mean shift, motion information and Kalman filtering approaches to object tracking[J]. ISA Transactions, 2012, 51(3):485-497.
[19］ TORKAMAN B, FARROKHI M. Real-time visual tracking of a moving object using pan and tilt platform: a Kalman filter approach[C]∥Proceedings of 20th Iranian Conference on Electrical Engineering. Tehran, Iran: IEEE, 2012: 928-933.
[20］ CHEN C I, HUANG S J. The necessary and sufficient condition for GM(1,1) grey prediction model[J]. Applied Mathematics & Computation, 2013, 219(11):6152-6162.
[21］魏国, 汤建勋, 王宇,等. 基于灰色时序模型的激光陀螺漂移数据滤波[J]. 红外与激光工程, 2011, 40(4):747-751.
WEI G, TANG J X, WANG Y, et al. Filtering of RLG's drift data based on grey-time series model [J]. Infrared and Laser Engineering, 2011, 40(4):747-751. (in Chinese)

第40卷
第3期2019 年3月兵工学报ACTA
ARMAMENTARIIVol.40No.3Mar.2019

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