Tracking an incoming ballistic missile using an extended interval kalman filter

被引：85

作者：

Siouris, GM ^{[1
]}

Chen, GR ^{[1
]}

Wang, JR ^{[1
]}

机构：

[1] UNIV HOUSTON,HOUSTON,TX 77004

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 1997年 / 33卷 / 01期

关键词：

D O I：

10.1109/7.570753

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

The important tracking problem by radar of an incoming ballistic missile system, which contains uncertainty in modelling and noise in both dynamics and measurements, is studied The classical extended Kalman filter (EKF) is no longer applicable to such an uncertain system, and so a new extended interval Kalman filter (EIKF) is developed for tracking the missile system. Computer simulation is presented to show the effectiveness of the EIKF algorithm for this uncertain and nonlinear ballistic missile tracking problem.

引用

页码：232 / 240

页数：9

共 11 条

[1] SUBOPTIMAL STATE ESTIMATION FOR CONTINUOUS-TIME NONLINEAR SYSTEMS FOR DISCRETE NOISY MEASUREMENTS [J].

ATHANS, M ;

WISHNER, RP ;

BERTOLINI, A .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1968, AC13 (05) :504-+

[2]

Bar-Shalom Y., 1990, Multitarget-Multisensor Tracking: Advanced Applications

[3]

Chen G., 1995, LINEAR STOCHASTIC CO

[4] Interval Kalman filtering [J].

Chen, GR ;

Wang, JR ;

Shieh, LS .

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1997, 33 (01) :250-259

[5]

Chui C., 1991, KALMAN FILTERING REA, Vsecond

[6]

Jazwinski A.H., 2007, Stochastic Processes and Filtering Theory

[7] STREAMLINING MEASUREMENT ITERATION FOR EKF TARGET TRACKING [J].

KERR, TH .

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1991, 27 (02) :408-421

[8]

KERR TH, 1991, IEEE T AERO ELEC SYS, P951

[9]

KOLEV LV, 1995, INTERVAL METHODS CIR

[10]

Sage A. P., 1971, Estimation Theory with Applications to Communications and Control, DOI 10.1109/TSMC.1971.4308330

← 1 2 →