A self-adaptive correction filtering method for relative navigation covariance of non-cooperative targets in space

Abstract

The invention discloses space non-cooperative target relative navigation covariance self-adaptive correction filtering method and system. The method includes following steps: 1) establishing a nonlinear relative movement model and a bearing-only relative navigation observation model of a space non-cooperative target under a centroid orbit coordinate system of an observation satellite; 2) on the basis of unscented Kalman filter algorithm, according to the nonlinear relative movement model and the bearing-only relative navigation observation model, performing calculation to acquire predicted value of observation quantity, an observation covariance matrix and a Kalman gain matrix; 3) setting an observation window width, and according to the observation covariance matrix and the Kalman gain matrix of the observation quantity in the window, correcting a measured noise variance matrix and a status noise variance matrix. The system and method can satisfy application demands of bearing-only relative navigation for the space non-cooperative target and are low in calculation quantity and strong in convergence.

Description

technical field [0001] The invention belongs to the technical field of relative navigation of space non-cooperative targets, in particular to a method and system for self-adaptive correction and filtering of space non-cooperative target relative navigation covariance. Background technique [0002] Space-based angle-only relative navigation is an important technical means to determine the relative motion orbit of non-cooperative space targets such as enemy satellites, space debris, and failed spacecraft. It has extensive and important applications in the fields of space attack and defense, situational awareness, and on-orbit services. . [0003] Due to the poor observability inherent in space-based angle measurement compared to navigation, navigation models and filtering methods must have high precision and good stability. In addition, since the statistical properties of state noise and observation noise of non-cooperative targets are difficult to estimate or measure accurat...

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Problems solved by technology

Although these methods can achieve certain improvement effects, they still need to be improved in terms of calculation amount and numerical stability.

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