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Study on Location Technology for Space Non-Cooperative Target Based on the Extended Kalman Filter
Author: ChenBingLong
Tutor: YangXu
School: Harbin Institute of Technology
Course: Aircraft design
Keywords: Spatial non- cooperative target Motion state estimation Relative motion Extended Kalman filter
CLC: V448.2
Type: Master's thesis
Year: 2010
Downloads: 218
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Abstract
Has become space powers competing for space control over the target , to estimate the state of motion ( position, velocity ) space non-cooperative target is the basis and prerequisite to get the induced air supremacy . Space for non-cooperative target mainly refers to the obvious advantages of satellite and ballistic missiles , space-based system of its tracking and observation . Space-based systems , the maneuvering space platform is the antisatellite effective means of space-based infrared early warning satellite system is an important part of the ballistic missile defense system . The movement of non- cooperation in the satellite and missile state estimation and orbital parameters estimated is the focus of this article content . Estimated to belong to non-cooperative target state space navigation areas , is one of the applications of the filtering algorithm . This paper studies the optimal state estimation of linearized Kalman filter method , and then using the extended Kalman filter theory , following two major aspects of the application : a satellite state of motion of non - cooperation estimates and orbital parameters determined . A free vehicle within a distance of 40 km radius of the non-cooperative target aircraft relative positioning method , based on a combination of visual navigation camera and laser rangefinder measurement solutions , combined with the extended Kalman filter method to estimate the target aircraft relative tracking aircraft ( maneuver ) the relative position of the platform , and relative velocity information , and finally calculate the orbital parameters of the target aircraft . Simulation results show the effectiveness of the method , and achieve high accuracy . II ballistic missile state of motion estimation . Active segment of a ballistic missile is based on movement characteristics of ballistic missile research , Free Flight and Reentry kinetic equation , the relative positional relationship between the use of tracking infrared camera to measure the ballistic missile warning satellites , combined with extended Kalman filtering method to estimate the missile state of motion. The active segment using improved gravity turn model , the free flight paragraph perturbed the Earth's gravity field model . The STK software simulation to generate early warning satellite system and target ballistic missile , greatly improve the credibility of the simulation . Simulation results show the effectiveness of the above estimation algorithm , and has a high accuracy .
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CLC: > Aviation, aerospace > Aerospace ( Astronauts ) > Space instrument,spacecraft devices,spacecraft guidance and control > Guidance and Control > Spacecraft guidance and control
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