A Two-Stage Mass-to-drag Ratio Estimation Algorithm for Reentry Vehicles

Xin Guo, Defeng Chen, Huawei Cao, Shuo Zhang

Research output: Contribution to journalConference articlepeer-review

Abstract

Ballistic target tracking and identification is a key task for missile defense systems. A vital problem in ballistic target identification is how to estimate the target mass-to-drag ratio fast and accurately. The reentry phase of a ballistic missile is the last stage of its flight, and the reentry trajectory is significantly affected by the atmospheric drag. Based on the constraints of space flight dynamics, this paper proposes a two-stage algorithm to estimate the mass-to-drag ratio. This algorithm first estimates the position and velocity of the target in the free flight stage by using the least-squares method, and then estimates the mass-to-drag ratio of the target by using the radial range measurements from the reentry stage. Several trajectories of a ballistic target under different mass-to-drag ratios are simulated, and the proposed algorithm is verified using these simulated trajectories.

Original languageEnglish
Article number012071
JournalJournal of Physics: Conference Series
Volume2252
Issue number1
DOIs
Publication statusPublished - 26 Apr 2022
Event2022 International Symposium on Aerospace Engineering and Systems, ISAES 2022 - Virtual, Online
Duration: 18 Feb 202220 Feb 2022

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