An Analytical Method for Calculating Short-Term Space Interception Probability

For small unguided space interceptors, the interception probability is an important index to evaluate their strike capability. However, the Monte Carlo (MC) based simulation method not only consumes a lot of computation time but also theoretically lacks interpretability. In this regard, this paper p...

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Main Authors: Wenzhe Ding, Xinhong Li, Hong Yang, Zhibin Zhang, Jiping An
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2019/5316396
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spelling doaj-f41b1e524a8b48db95fb6cf50b1e5c7c2020-11-24T21:42:53ZengHindawi LimitedInternational Journal of Aerospace Engineering1687-59661687-59742019-01-01201910.1155/2019/53163965316396An Analytical Method for Calculating Short-Term Space Interception ProbabilityWenzhe Ding0Xinhong Li1Hong Yang2Zhibin Zhang3Jiping An4Graduate School, Space Engineering University, Beijing 101416, ChinaDepartment of Aerospace Science and Technology, Space Engineering University, Beijing 101416, ChinaGraduate School, Space Engineering University, Beijing 101416, ChinaGraduate School, Space Engineering University, Beijing 101416, ChinaGraduate School, Space Engineering University, Beijing 101416, ChinaFor small unguided space interceptors, the interception probability is an important index to evaluate their strike capability. However, the Monte Carlo (MC) based simulation method not only consumes a lot of computation time but also theoretically lacks interpretability. In this regard, this paper proposes an analytical method that can quickly and accurately calculate the short-term space interception probability. Firstly, by considering the effect of perturbation force on spacecraft as the effect of external force acceleration, the analytical calculation formula of the short-term state error covariance propagation of space target and interceptor is deduced. Next, by projecting the state error and rotating the coordinate system, the joint error distribution of the target and the interceptor in the calculation coordinate system at the time of closest approach (TCA) is obtained. Thereby convert the calculation of the space interception probability into the integral of the 2-dimensional probability density function in the circular domain. Then, the Laplace transform and Taylor expansion are used to obtain the exact power series expression and the maximum truncation error of the integral calculation, and the analytical calculation of the short-term space interception probability is realized. Finally, the effectiveness of the proposed method is verified by a simulation example. The proposed method can directly calculate the space interception probability according to the initial state error distribution of the target and interceptor, and the whole calculation process does not contain double integral operation. The proposed method has high computational efficiency, is suitable for on-orbit calculation, and provides effective support for the rapid evaluation of the strike capability of the space interceptor.http://dx.doi.org/10.1155/2019/5316396
collection DOAJ
language English
format Article
sources DOAJ
author Wenzhe Ding
Xinhong Li
Hong Yang
Zhibin Zhang
Jiping An
spellingShingle Wenzhe Ding
Xinhong Li
Hong Yang
Zhibin Zhang
Jiping An
An Analytical Method for Calculating Short-Term Space Interception Probability
International Journal of Aerospace Engineering
author_facet Wenzhe Ding
Xinhong Li
Hong Yang
Zhibin Zhang
Jiping An
author_sort Wenzhe Ding
title An Analytical Method for Calculating Short-Term Space Interception Probability
title_short An Analytical Method for Calculating Short-Term Space Interception Probability
title_full An Analytical Method for Calculating Short-Term Space Interception Probability
title_fullStr An Analytical Method for Calculating Short-Term Space Interception Probability
title_full_unstemmed An Analytical Method for Calculating Short-Term Space Interception Probability
title_sort analytical method for calculating short-term space interception probability
publisher Hindawi Limited
series International Journal of Aerospace Engineering
issn 1687-5966
1687-5974
publishDate 2019-01-01
description For small unguided space interceptors, the interception probability is an important index to evaluate their strike capability. However, the Monte Carlo (MC) based simulation method not only consumes a lot of computation time but also theoretically lacks interpretability. In this regard, this paper proposes an analytical method that can quickly and accurately calculate the short-term space interception probability. Firstly, by considering the effect of perturbation force on spacecraft as the effect of external force acceleration, the analytical calculation formula of the short-term state error covariance propagation of space target and interceptor is deduced. Next, by projecting the state error and rotating the coordinate system, the joint error distribution of the target and the interceptor in the calculation coordinate system at the time of closest approach (TCA) is obtained. Thereby convert the calculation of the space interception probability into the integral of the 2-dimensional probability density function in the circular domain. Then, the Laplace transform and Taylor expansion are used to obtain the exact power series expression and the maximum truncation error of the integral calculation, and the analytical calculation of the short-term space interception probability is realized. Finally, the effectiveness of the proposed method is verified by a simulation example. The proposed method can directly calculate the space interception probability according to the initial state error distribution of the target and interceptor, and the whole calculation process does not contain double integral operation. The proposed method has high computational efficiency, is suitable for on-orbit calculation, and provides effective support for the rapid evaluation of the strike capability of the space interceptor.
url http://dx.doi.org/10.1155/2019/5316396
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