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Parameter Precise Estimation Technology of Active Segment of Non-cooperative Targets Based on Long Short-Term Memory
- Source :
- Space: Science & Technology, Vol 3 (2024)
- Publication Year :
- 2024
- Publisher :
- American Association for the Advancement of Science (AAAS), 2024.
-
Abstract
- Traditional algorithms do not fully utilize the timing information of non-cooperative targets, and setting too many motion parameters can lead to complex dynamic model calculations. This paper proposes a long short-term memory (LSTM) network-based method for estimating the parameters of the active segment of the non-cooperative target under single-satellite observation. Based on the simulation training set of the active segment of the non-cooperative target, the network parameters of the LSTM network are designed, the motion characteristics of the active segment of the non-cooperative target are fully excavated through data-driven methods, and the candidate cutting trajectories are screened and predicted to realize the estimation of the motion parameters of the active segment of the non-cooperative target under the condition of single-satellite observation. The experimental results show that the estimation method proposed in this paper can effectively deal with the inaccurate problem with the non-cooperative target’s active segment motion model established under the condition of single-satellite observation, obtain more accurate active segment motion parameters, and provide a feasible new idea and method for the parameter estimation of the active segment of the non-cooperative target under the single-satellite observation.
- Subjects :
- Motor vehicles. Aeronautics. Astronautics
TL1-4050
Astronomy
QB1-991
Subjects
Details
- Language :
- English
- ISSN :
- 26927659
- Volume :
- 3
- Database :
- Directory of Open Access Journals
- Journal :
- Space: Science & Technology
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.87dbed81d02a46ae94ad02cfc080cd4d
- Document Type :
- article
- Full Text :
- https://doi.org/10.34133/space.0150