Space-time registration of radar and ESM using unscented Kalman filter

被引:69
|
作者
Li, W
Leung, H
Zhou, YF
机构
[1] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB T2N 1N4, Canada
[2] Def R&D Canada, Elect Support Measures Sect, Ottawa, ON K1A 0Z4, Canada
关键词
D O I
10.1109/TAES.2004.1337457
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Space and time alignments are the prerequisites for the successful fusion of multiple sensors. A space-time registration model is proposed to estimate the system biases and to perform time synchronization together for mobile radar and electronic support measure (ESM) systems. A space-time registration model for radar and ESM is first developed, and an unscented Kalman filter (UKF) is proposed to estimate the space-time biases and target states simultaneously. The posterior Cramer-Rao bounds (PCRBs) are derived for the proposed UKF registration algorithm for ESM detection probability less than or equal to one. Theoretical analyses are performed. to evaluate the accuracy and robustness of the proposed method. Computer simulations show that the UKF registration algorithm is indeed effective and robust for different radar and ESM tracking scenarios.
引用
收藏
页码:824 / 836
页数:13
相关论文
共 50 条
  • [41] Friction coefficient estimation using an unscented Kalman filter
    Zhao, Yunshi
    Liang, Bo
    Iwnicki, Simon
    VEHICLE SYSTEM DYNAMICS, 2014, 52 : 220 - 234
  • [42] Multiple Plane Tracking using Unscented Kalman Filter
    Chari, Visesh
    Jawahar, C. V.
    IEEE/RSJ 2010 INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2010), 2010,
  • [43] Freehand ultrasound calibration using the Unscented Kalman Filter
    Moghari, Mehdi Hedjazi
    Chen, Thomas Kuiran
    Abolmaesumi, Purang
    MEDICAL IMAGING 2006: ULTRASONIC IMAGING AND SIGNAL PROCESSING, 2006, 6147
  • [44] Constrained State Estimation Using the Unscented Kalman Filter
    Kandepu, Rambabu
    Imsland, Lars
    Foss, Bjarne A.
    2008 MEDITERRANEAN CONFERENCE ON CONTROL AUTOMATION, VOLS 1-4, 2008, : 203 - +
  • [45] On the Efficiency of SLAM Using Adaptive Unscented Kalman Filter
    Masoud Sotoodeh Bahraini
    Iranian Journal of Science and Technology, Transactions of Mechanical Engineering, 2020, 44 : 727 - 735
  • [46] Kalman filter-based channel estimation for space-time block code
    Teo, KAD
    Ohno, S
    Hinamoto, T
    2004 47TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL II, CONFERENCE PROCEEDINGS, 2004, : 669 - 672
  • [47] Unscented Kalman filter for urban network travel time estimation
    Hage, Re-Mi
    Betaille, David
    Peyret, Francois
    Meizel, Dominique
    PROCEEDINGS OF EWGT 2012 - 15TH MEETING OF THE EURO WORKING GROUP ON TRANSPORTATION, 2012, 54 : 1047 - 1057
  • [48] Stochastic Stability of the Continuous-Time Unscented Kalman Filter
    Xu, Jiahe
    Wang, Shi
    Dimirovski, Georgi M.
    Jing, Yuanwei
    47TH IEEE CONFERENCE ON DECISION AND CONTROL, 2008 (CDC 2008), 2008, : 5110 - 5115
  • [49] An adaptive nonlinear filter of discrete-time system with uncertain covariance using unscented kalman filter
    Li, WC
    Wei, P
    Xiao, XC
    International Symposium on Communications and Information Technologies 2005, Vols 1 and 2, Proceedings, 2005, : 1389 - 1392
  • [50] A Kalman filter method for estimation and prediction of space-time data with an autoregressive structure
    Lagos-Alvarez, Bernardo
    Padilla, Leonardo
    Mateu, Jorge
    Ferreira, Guillermo
    JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2019, 203 : 117 - 130