Phased Array Radar Seeker Pointing Error Compensation Using Multiple-model Extended Kalman Filters

被引:0
|
作者
Wang, Qi [1 ]
Liao, Zhizhong [1 ]
Yan, Fei [1 ]
机构
[1] China Airborne Missile Acad, Luoyang 471009, Peoples R China
来源
2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC) | 2021年
关键词
Phased Array Radar Seeker; Pointing Error; Guidance System Stability; Multiple-Model Extended Kalman Filters;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As a new field of seeker development, the phased array radar seeker has the advantages of small size, light weight, high power and high reliability. Since the pattern of phased array antenna changes direction in space from the mechanical platform to the discrete digital control system, the antenna pointing error is produced; at the same time, there is radome boresight error. Affected by these two errors, the pointing error of phased array radar seeker is more serious, which will cause the parasitic coupling problem of the guidance system and affect the stability of the guidance system. In this paper, by constructing the guidance system model of phased array radar seeker, the influence mechanism of seeker pointing error is analyzed, and an on-line estimation and compensation method of seeker pointing error slope is proposed by combining multiple-model with extended Kalman filter. Finally, digital simulation is carried out. The simulation results show that the method proposed can effectively estimate the seeker pointing error slope, the stability and accuracy of the guidance system can be improved with pointing error slope compensation.
引用
收藏
页码:3515 / 3520
页数:6
相关论文
共 50 条
  • [21] Improving Argos Doppler Location Using Multiple-Model Kalman Filtering
    Lopez, Remy
    Malarde, Jean-Pierre
    Royer, Francois
    Gaspar, Philippe
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (08): : 4744 - 4755
  • [22] Error model-converted measurement and error model-modified extended Kalman filters for target tracking
    Kashyap, Sudesh K.
    Girija, G.
    Raol, J. R.
    DEFENCE SCIENCE JOURNAL, 2006, 56 (05) : 679 - 692
  • [23] Identification of Ship Maneuvering Model Using Extended Kalman Filters
    Shi, C.
    Zhao, D.
    Peng, J.
    Shen, C.
    TRANSNAV-INTERNATIONAL JOURNAL ON MARINE NAVIGATION AND SAFETY OF SEA TRANSPORTATION, 2009, 3 (01) : 105 - 110
  • [24] Onboard Pointing Error Detection and Estimation of Observation Satellite Data Using Extended Kalman Filter
    Dhanalakshmi, R.
    Bhavani, N. P. G.
    Raju, S. Srinivasulu
    Shaker Reddy, Pundru Chandra
    Marvaluru, Dinesh
    Singh, Devesh Pratap
    Batu, Areda
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [25] On Board Pointing Error Detection and Estimation of Observation Satellite Data using Extended Kalman Filter
    Dhanalakshmi, R.
    Eswara Chaitanya, D.
    Chandra Shaker Reddy, P.
    Vijendra Babu, D.
    Aggarwal, Puneet Kumar
    Rak, E. Fantin Irudaya
    Research Square, 2021,
  • [26] Distributed Fault-tolerant Fusion Estimation Based On Multiple-model Extended Kalman Filter
    Shi, Xiaodi
    Yan, Liping
    Xia, Yuanqing
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 3450 - 3455
  • [27] Inverter-Centric Islanding Detection using Multiple-Model Filters
    Salman, Mustafa
    Wu, N. Eva
    2019 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2019,
  • [28] Multiple-model adaptive estimation using a residual correlation Kalman Filter Bank
    Hanlon, Peter D.
    Maybeck, Peter S.
    Proceedings of the IEEE Conference on Decision and Control, 1998, 4 : 4494 - 4495
  • [29] Multiple-model adaptive estimation using a residual correlation Kalman filter bank
    Hanlon, PD
    Maybeck, PS
    PROCEEDINGS OF THE 37TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 1998, : 4494 - 4495
  • [30] Multiple-model adaptive estimation using a residual correlation Kalman filter bank
    Hanlon, PD
    Maybeck, PS
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2000, 36 (02) : 393 - 406