Feasibility Assessment of a High-Altitude Tethered-Balloon Optical Imaging System for LEO Space Debris Monitoring
Source abstract
Abstract
To support low Earth orbit (LEO) debris monitoring, this paper investigates a tethered-balloon-based optical observation concept intended to complement ground- and space-based sensors. The system comprises a high-altitude tethered aerostat, an optical payload, a three-axis stabilization subsystem, and a ground control station. Key payload parameters, including field of view, spatial resolution, and atmospheric transmittance, are analyzed, and the configuration is examined in terms of spectral-band selection, aperture, and multi-camera mosaic imaging. A multi-station angular-measurement model and a weighted least-squares estimator are developed for debris localization. Monte Carlo and scenario-based simulations indicate that a wide field of view can increase observation duration and availability, with mean continuous observation arcs exceeding 400 s, thereby improving estimator conditioning and localization performance. A 5 km flight experiment further validates the operability of the SWIR imaging chain through star-field imaging and a representative image-sequence example with a highlighted moving point-source target. The results suggest that tethered balloons can provide a cost-effective and rapidly deployable supplementary observation layer for multi-layer space situational awareness.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Space Satellite Systems and Control · Spacecraft Dynamics and Control · GNSS positioning and interference
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Beijing Institute of Tracking and Telecommunications Technology, Beijing 100094, China
School of Cyber Science and Technology, Beihang University, Beijing 100191, China
Beijing Institute of Space Mechanics and Electricity, Beijing 100094, China
Funding
Space Debris Research Project of China
References (26)
Show source-provided references
1. Bigdeli, M., Srivastava, R., and Scaraggi, M. (2025). Mechanics of space debris removal: A review. Aerospace, 12.10.3390/aerospace12040277 ↗
2. Collision frequency of artificial satellites: The creation of a debris belt10.1029/JA083iA06p02637 ↗
3. Jahirabadkar, S., and Pande, P. (2022). A survey on image processing-based techniques for space debris detection. Proceedings of the 2022 IEEE Bombay Section Signature Conference, IEEE.10.1109/IBSSC56953.2022.10037480 ↗
4. Space debris detection over intersatellite communication signals10.1016/j.actaastro.2021.06.023 ↗
5. Heliocentric transfer trajectory design for multiple spacecraft using lunar gravity assists10.1016/j.actaastro.2023.05.033 ↗
6. Pisanu, T., Muntoni, G., Schirru, L., Ortu, P., Urru, E., and Montisci, G. (2021). Recent advances of the BIRALET system about space debris detection. Aerospace, 8.10.3390/aerospace8030086 ↗
7. Beam-park experiments at FGAN10.1016/j.asr.2003.01.008 ↗
8. Delta-k approach for space surveillance multireceiver radars10.1007/s42064-024-0217-5 ↗
9. APPARILLO: A fully operational and autonomous staring system for LEO debris detection10.1007/s12567-021-00380-6 ↗
10. Tao, J., Cao, Y., and Ding, M. (2023). SDebrisNet: A spatial–temporal saliency network for space debris detection. Appl. Sci., 13.10.3390/app13084955 ↗
11. Deep learning-based space debris detection for space situational awareness: A feasibility study applied to radar processing10.1049/rsn2.12547 ↗
12. Zhang, Q., and Niu, Z. (2025). Cislunar space debris detection method based on binary projection matrix. Proceedings of the Fourth International Conference on High Performance Computing and Communication Engineering, SPIE.10.1117/12.3059569 ↗
13. Real-time space object tracklet extraction from telescope survey images with machine learning10.1007/s42064-022-0134-4 ↗
14. Spaceborne and ground-based sensor collaboration: Advancing resident space objects’ orbit determination for space sustainability10.1007/s42064-023-0193-1 ↗
15. Dignam, A., Harris, T., Brydon, G., and Charls, K. (2023, January 24–26). In-space situational awareness: Developing spaceborne sensors for detecting, tracking and characterizing space debris. Proceedings of the 2nd NEO and Debris Detection Conference, Darmstadt, Germany.
16. Ahamed, M.Y., Syed, M.A.B., Chatterjee, P., and Habib, A.Z.S.B. (2023). A deep learning approach for satellite and debris detection: YOLO in action. Proceedings of the 2023 26th International Conference on Computer and Information Technology, IEEE.10.1109/ICCIT60459.2023.10441152 ↗
17. A conflict avoidance algorithm for space-based collaborative stereo observation mission scheduling of space debris10.1016/j.asr.2022.06.064 ↗
18. Weiwei, Z. (2015). The integrated panoramic surveillance system based on tethered balloon. Proceedings of the 2015 IEEE Aerospace Conference, IEEE.10.1109/AERO.2015.7118948 ↗
19. The Tethered Aerostat Radar System (TARS): Capabilities and operational deployment
20. Wang, J., Shen, M., Wen, Q., Zhao, R., Wang, Z., Gao, P., and Huang, M. (2024). Aerostat-based observation of space objects in the stratosphere. Appl. Sci., 14.10.3390/app14125175 ↗
21. Pang, C., He, Z., Song, K., and Cao, S. (2024). Analysis of wind field response characteristics of tethered balloon systems. Aerospace, 11.10.3390/aerospace11050360 ↗
22. Application research of tethered UAV platform in marine emergency communication network
23. Lai, Z., Tang, M., Hu, X., Shu, X., Huang, W., and Pan, Y. (2024). Dynamics modeling and motion evaluation of a near-ground tethered balloon cable system under severe wind environments. Actuators, 13.10.3390/act13100402 ↗
24. The ground station for long-range monitoring, flight control, and operational data telemetry of unmanned aerial vehicles
25. On the guidance, navigation and control of in-orbit space robotic missions: A survey and prospective vision10.1016/j.actaastro.2021.03.029 ↗
26. Amerson, A., Gonzalez-Hirshfeld, I., and Dexheimer, D. (2023). Validating a tethered balloon system and optical technologies for marine wildlife detection and tracking. Remote Sens., 15.10.3390/rs15194709 ↗