Non-cooperative target relative navigation motion estimation method based on sequence image

Abstract

The invention relates to a non-cooperative target relative navigation motion estimation method based on a sequence image. The implementation of non-cooperative target on-orbit tasks has high requirements for the relative speed, high precision and high reliability of relative navigation, especially when an active spacecraft does not rely on ground operations and independently completes relative navigation and guidance and control of non-cooperative targets. The method overcomes the deficiencies of the existing non-cooperative target relative navigation motion parameter estimation methods, and uses the sequence distance image as an input. The sequence distance image is used as input, the image is spatially discretized by a body unit, a non-cooperative target dynamic equation is used for Kalman filtering, which overcomes the limitations of a feature recognition method, improves the estimation accuracy and efficiency, and reduces the amount of data processing.

Description

technical field [0001] The invention belongs to the field of spacecraft relative navigation, and in particular relates to a method for estimating relative navigation motion of space non-cooperative targets. Background technique [0002] With the development of space missions, on-orbit service and space operation missions will not only be oriented to space cooperation goals, but also to space non-cooperation goals. Space non-cooperative targets refer to objects such as in-orbit invalid satellites and large space debris. The biggest difference from cooperative targets is that non-cooperative targets in space usually have no ability to output information. Therefore, accurately grasping the motion state and inertia parameters of space non-cooperative targets is the key and difficult point to successfully serve and operate non-cooperative targets. [0003] Because the motion state and inertial parameters of space non-cooperative targets can neither be obtained in advance nor th...

AI Technical Summary

Problems solved by technology

The method of measuring feature points has the advantages of small amount of calculation and fast speed, but it also has certain shortcomings: (1) The observation accuracy depends on the nature and observation conditions of the characteristics of non-cooperative targets; (2) The amount of data obtained through some features is limited, when non-cooperative When the geometric features of the cooperation target are not obvious, the real-time processing on the orbit will be very difficult

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