LSTM Model for Trajectory Design of Missile-Borne BFSAR Imaging Guidance

Authors

Bohao Li, 1. State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing 100191, China; ;2. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China; ;3. Science and Technology on Aircraft Control Laboratory, Beijing 100191, China;
Yunjie Wu, 1. State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing 100191, China; ;2. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China; ;3. Science and Technology on Aircraft Control Laboratory, Beijing 100191, China;

Abstract

Abstract: In the multi-platform path planning of multi-missile cooperative guidance algorithm used for missile-borne Bi-static Forward-looking Synthetic Aperture Radar (BFSAR) imaging, it is necessary to plan and adjust the transmitter trajectory according to the space state of the receiver and the path constraints between the receiver and the transmitter.An effective LSTM model is constructed to study and train the trajectory path generated by the existing algorithms, and the direct mapping relationship between the receiver space state, path constraint and the trajectory of the transmitter is obtained. The simulation results not only show that LSTM is feasible in multi-missile path planning, but also greatly improves the efficiency.

Recommended Citation

Li, Bohao and Wu, Yunjie (2019) "LSTM Model for Trajectory Design of Missile-Borne BFSAR Imaging Guidance," Journal of System Simulation: Vol. 31: Iss. 12, Article 17.
DOI: 10.16182/j.issn1004731x.joss.19-FZ0314
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss12/17

First Page

2696

Revised Date

2019-07-12

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-FZ0314

Last Page

2701

CLC

TP273+.3

Recommended Citation

Li Bohao, Wu Yunjie. LSTM Model for Trajectory Design of Missile-Borne BFSAR Imaging Guidance[J]. Journal of System Simulation, 2019, 31(12): 2696-2701.

DOI

10.16182/j.issn1004731x.joss.19-FZ0314