基于奇异值分解自适应UKF的再入滑翔目标跟踪

doi:10.12305/j.issn.1001-506X.2023.05.27

Abstract

Abstract:

Aiming the problem that the hypersonic reentry glide vehicle is difficult to track, an adaptive unscented Kalman filter tracking algorithm based on singular value decomposition (SVDA-UKF) is proposed. Based on the characteristics of such goals, firstly, the target state equation is established based on the aerodynamic model. And convert target measurements to east north-up system, the measurement equation is established. Secondly, using the UKF algorithm, and on the basis, improvements are made by choose using indirect measurement update, introducing singular value decomposition of covariance matrix, and designing multiple adaptive factors. Finally, the tracking simulation is carried out combining the three types of gliding trajectories of HRGV targets. The results show that the SVDA-UKF algorithm not only accelerates the calculation speed, but also improves the filtering accuracy and reliability. The algorithm achieves good tracking of HRGV targets.

Key words: reentry glide, tracking, indirect measurement, singular value decomposition, adaptive

CLC Number:

V448

Zehao YE, Hao CHEN, Shengxiang ZHOU, Yawei SONG, Yan GAO, Zhihui YU. Adaptive UKF based on singular value decomposition to reentry glide target tracking[J]. Systems Engineering and Electronics, 2023, 45(5): 1503-1511.

Figures/Tables 11

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References 34

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性能	滤波算法
性能	SVDA-UKF	ST-UKF	UKF
(${\bar x}$, ${\bar y}$, ${\bar z}$)/m	(31, 31, 31)	(68, 68, 68)	(71, 71, 71)
(${\bar v}$_x, ${\bar v}$_y, ${\bar v}$_z)/(m·s^-1)	(23, 24, 22)	(73, 74, 71)	(90, 91, 87)
耗时/s	44	78	73

性能	滤波算法
性能	SVDA-UKF	ST-UKF	UKF
(${\bar x}$, ${\bar y}$, ${\bar z}$)/m	(35, 35, 35)	(75, 75, 75)	(87, 87, 87)
(${\bar v}$_x, ${\bar v}$_y, ${\bar v}$_z)/(m·s^-1)	(33, 32, 31)	(112, 113, 110)	(321, 321, 320)
耗时/s	44	78	74

性能	滤波算法
性能	SVDA-UKF	ST-UKF	UKF
(${\bar x}$, ${\bar y}$, ${\bar z}$)/m	(31, 31, 31)	(68, 68, 68)	(73, 74, 73)
(${\bar v}$_x, ${\bar v}$_y, ${\bar v}$_z)/(m·s^-1)	(26, 27, 26)	(73, 75, 73)	(101, 103, 100)
耗时/s	44	77	73

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Adaptive UKF based on singular value decomposition to reentry glide target tracking

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