多星载光学传感器系统误差极大似然配准算法

doi:10.3969/j.issn.1001-506X.2020.01.01

Abstract

Abstract:

Aiming at the problem of systemic error in detecting ballistic targets cooperatively via low earth orbit constellation, a maximum likelihood registration (MLR) algorithm is presented for systemic error of multiple spaceborne optical sensors. Firstly, the nonlinear measurement transformation is linearized by the first-order Taylor approximation, and the relations between the error covariance of target state and random errors of satellite orbit orientation, attitude angle measurement and sensor measurement are derived. Secondly, the approximate projection of measurement to the state space is obtained based on the line of sight crossing, thus the MLR algorithm is extended to the error registration for multiple optical sensors of low earth orbit constellation. Finally, by introducing the prior information of various measurement errors to correct the error covariance of target state, and using the iteration of expectation maximization, the unbiased effective estimation of systemic error and the fusion estimation of target trajectory are achieved. The numerical simulations demonstrate the effectiveness and the superior registration performance of the algorithm.

Key words: low earth orbit constellation, systemic error, measurement model, measurement error, maximum likelihood registration (MLR), information fusion

CLC Number:

TP274

Jiawei LI, Jing JIANG, Chongyang LIU, Weihua WU. Maximum likelihood registration for systemic error of multiple spaceborne optical sensors[J]. Systems Engineering and Electronics, 2020, 42(1): 1-9.

Figures/Tables 8

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序号	轨道根数
序号	a/km	e	i/(°)	Ω/(°)	ω/(°)	υ/(°)
1	7 971	0.000 091 7	77.8	60	0	0
2	7 971	0.000 091 7	77.8	60	0	308.57
3	7 971	0.000 091 7	77.8	240	0	102.86

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Maximum likelihood registration for systemic error of multiple spaceborne optical sensors

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