[1] 宋华, 章新华, 许林周.基于离散隐马尔科夫模型的空中目标战术机动识别[J].仪器仪表学报, 2007, 28(4):588-592. SONG H, ZHANG X H, XU L Z. Aerial combat maneuver identification based on discrete hidden Markov model[J]. Chinese Journal of Scientific Instrument, 2007, 28(4):588-592(in Chinese).
[2] 钟友武, 柳嘉润, 申功璋.自主近距空战中敌机的战术动作识别方法[J].北京航空航天大学学报,2007, 33(9):1056-1059. ZHONG Y W, LIU J R, SHEN G Z. Recognition method for tactica maneuver of target in autonomous close-in air combat[J].Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(9):1056-1059(in Chinese).
[3] ROTH M, HENDEBY G, GUSTAFSSON F. EKF/UKF maneuvering target tracking using coordinated turn models with polar/Cartesian velocity[C]//201417th International Conference on Information Fusion. Piscataway, NJ:IEEE Press, 2014:1-8.
[4] ARASARATNAM I,HAYKIN S.Cubature Kalman smoother[J]. Automatica, 2011, 47(11):2245-2250.
[5] JIA B, XIN M, CHENG Y. High-degree cubature Kalman filter[J].Automatica, 2013, 49(2):510-518.
[6] HUANG Y L, ZHANG Y G. Design of high-degree student's t-based cubature filters[J]. Circuits System Signal Process, 2017, 37(6):1-20.
[7] 黄伟平, 徐毓, 王杰. 基于改进"当前"统计模型的转弯机动跟踪算法[J].控制与决策, 2011, 26(9):1412-1416. HUANG W P, XU Y, WANG J. Algorithm based on modified current statistic mode for turn maneuver[J]. Control and Decision, 2011, 26(9):1412-1416(in Chinese).
[8] ZHU L, CHENG X. High maneuver target tracking in coordinated turns[J]. IET Radar, Sonar & Navigation, 2015, 9(8):1078-1087.
[9] EFE M, ATHERTON D P. Maneuvering target tracking using adaptive turn rate models in the interacting multiple model algorithm[C]//Proceedings of the 35th IEEE conference on Decision and Control. Piscataway, NJ:IEEE Press, 1996:3151-3156.
[10] YUAN X H, HAN C Z,DUAN Z et al. Adaptive turn rate estimation using range rate measurements[J]. IEEE Transactions on Aerospace and Electronic Systems, 2006, 42(4):1532-1541.
[11] LIU H Q, ZHOU Z L, LU C G, et al. Maneuvering detection using multiple parallel CUSUM detector[J]. Mathematical Problems in Engineering, 2018(5):1-17.
[12] FRENCL V B, VAL J B R,MENDES R S, et al. Turn rate estimation using range rate measurements for fast manoeuvring tracking[J]. IET Radar, Sonar & Navigation, 2017, 11(7):1099-1107.
[13] BAR S, LI X R, KIRUBARAJAN T. Estimation with applications to tracking and navigation:Theory algorithms and software[M]. New Jersey:Wiley Interscience, 2001:34-50.
[14] YUAN X H, LIAN F,HAN C Z,et al. Models and algorithms for tracking target with coordinated turn motion[J]. Mathematical Problems in Engineering, 2014(2):1-10.
[15] SOUTO R F, ISHIHARA J Y. A robust extended Kalman filter for discrete time systems with uncertain dynamics, measurements and correlated noise[C]//Proceedings of 2009 American Control Conference, 2009:1888-1893
[16] ZHUO D G, HAN C Z, WEI R Z, et al. Synchronized multi-sensor tracks association and fusion[C]//Proceedings of the 4th International Conference on Information Fusion, 2001.
[17] 于浛, 宋申民, 王硕, 等. 具有随机时滞和异步相关噪声的非线性系统的高斯滤波器设计[J].中国惯性技术学报, 2015, 23(2):238-247. YU H, SONG S M,WANG S, et al. Improved gaussian filter algorithm for nonlinear system with random delay and asynchronously correlated noies[J]. Journal of Chinese Inertial Technology, 2015, 23(2):238-247(in Chinese).
[18] 冯建鑫. 含相关性噪声系统的估计和融合算法研究[D].哈尔滨:哈尔滨工业大学, 2012:9-14. FENG J X. Study on estimation and fusion algorithm for systems with correlated noises[D]. Harbin:Harbin Institute of Technology, 2012:9-14(in Chinese).
[19] 陈嘉鸿, 韩九强, 席震东, 等.一般相关噪声下多传感器平滑融合算法[J].自动化学报, 2009, 35(5):491-497. CHEN J H, HAN J Q, XI Z D, et al. Smoothing algorithm for multi-sensor fusion with general correlated noises[J]. Acta Automatica Sinica, 2009, 35(5):491-497(in Chinese).
[20] WANG X X, LIANG Y, PAN Q, et al. General equivalence between two kinds of noise-correlation filters[J]. Automatica, 2014,50(12):3316-3318.
[21] CHANG G B. Marginal unscented Kalman filter for cross-correlated process and observation noise at the same epoch[J]. IET Radar, Sonar & Navigation, 2014,8(1):54-64.
[22] HU Z T, QIN M, WANG J, et al. Unscented kalman filter based on the decoupling of correlated noise[J] Journal of Computational Information Systems, 2013, 9(7):2941-2948.
[23] WANG X X, LIANG Y, PAN Q, et al. A Gaussian approximation recursive filter for nonlinear systems with correlated noises[J]. Automatica,2012,48(9):2290-2297.
[24] HUANG Y L, ZHANG Y G, WANG X X, et al. Gaussian filter for nonlinear systems with correlated noises at the same epoch[J]. Automatica,2015,60(C):122-126.
[25] HUANG Y L, ZHANG Y G, LI N, et al. Design of gaussian approximate filter and smoother for nonlinear systems with correlated noises at one epoch apart[J]. Circuits System Signal Process, 2016, 35(11):3981-4008.
[26] SCHON T, WILLS A, NINNESS B. System identification of nonlinear state-space models[J].Automatica, 2011, 47(1):39-49.
[27] 张金凤,何重阳,梁彦.面向再入目标跟踪的估计与辨识联合优化算法[J].航空学报, 2016, 37(5):1634-1643. ZHANG J F, HE C Y, LIANG Y. Joint optimization algorithm of estimation and identification for reentry target tracking[J].Acta Aeronautica et Astronautica Sinica, 2016, 37(5):1634-1643(in Chinese).
[28] WANG X X, LIANG Y, PAN Q, et al. Measurement random latency probability identification[J].IEEE Transactions on Automatic Conrtol, 2016, 61(12):4210-4216.
[29] WANG X X, LIANG Y, PAN Q, et al. Nonlinear gaussian smoothers with colored measurements noise[J].IEEE Transactions on Automatic Conrtol, 2015, 3(60):870-876.
[30] GENZ A. Fully symmetric interpolatory rules for mutiple integrals over hyper-spherical surfaces[J].Journal of Computational and Applied Mathmaics, 2003,157(1):187-195.
[31] RADFORD N, GEOFFREY H, JORDAN M. A view of the EM algorithm that justifies incremental, sparse, and other variants[J]. Learning in Graphical Moels, 1999, 89:355-368.
[32] EMIL S, LUDMILA M, LI X R. Variableand fixed-structure augmented IMM algorithms using coordinated turn model[J]. Fusion, 2000(3):186-193.
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