Initial Leveling with Input Estimation.

Lee, Sou-Chen; Liu, Chengyu; Hou, Wen-Tien

doi:10.1299/jsmec.41.774

Cited by 5 publications

(1 citation statement)

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“…Input estimation (IE) provides a good solution to this problem. IE has been successfully employed to estimate inputs for solving tracking [1][2][3][4] , inverse heat conduction [5][6][7] and initial leveling problems 8,9 . Lee and Liu proposed a filter associating the EKF with IE to handle model validation problems, and provided an accurate trajectory estimation approach for the RV [10][11][12][13][14] .…”

Section: Introductionmentioning

confidence: 99%

Tracking the Warhead Among Objects Separation from the Reentry Vehicle in a Clear Environment

Liu¹

2009

DSJ

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Separating a reentry vehicle into warhead, main body, and debris is a conventional and efficient means of producing a huge decoy and increasing the kinetic energy of the warhead. This procedure causes the radar to track the main body and debris, which radar cross section are large, and ignore the warhead, is the most important part of the reentry vehicle. The warhead is difficult to identify after separation using standard tracking criteria. This study presents a novel tracking algorithm by integrating input estimation and modified probabilistic data association filter to identify warhead among objects separation from the reentry vehicle in a clear environment. The proposed algorithm provides a good tracking capability for the warhead ignoring the radar cross section. Simulation results reveal that the errors between the updated and warhead trajectories are reduced to a small interval in a short time. Therefore, the radar can generate a beam to illuminate the right area and keep tracking the warhead all the time. This algorithm is worthy of further study and application.

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