Skip to main content
Log in

Design and analysis of ballistic ground scanning system based on dynamics simulation

  • Short Communication
  • Published:
International Journal of Precision Engineering and Manufacturing Aims and scope Submit manuscript

Abstract

While active ground scanning systems like unmanned aerial vehicle are being widely used for detection of object in a wide area, there are needs for scanning systems that can instantly detect and respond to potential hazards in a defined area. This study develops a ballistic ground scanning system based on computer simulations of a dynamics model. We built a dynamics model in ADAMS software, and the validity of the dynamics model was tested through projectile experiments. Using the developed dynamics model, we determined design parameters of the scanning system and investigated the effects of the parameters on the system performance.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Camp, W. W., Mayhan, J. T., and O'Donnell, R. M., “Wideband Radar for Ballistic Missile Defense and Range-Doppler Imaging of Satellites,” Lincoln Laboratory Journal, vol. 12, no. 2, pp. 267–280, 2000.

    Google Scholar 

  2. Wehr, A. and Lohr, U., “Airborne Laser Scanning-An Introduction and Overview,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 54, no. 2, pp. 68–82, 1999.

    Article  Google Scholar 

  3. Omasa, K., Hosoi, F., Uenishi, T., Shimizu, Y., and Akiyama, Y., “Three-Dimensional Modeling of an Urban Park and Trees by Combined Airborne and Portable On-Ground Scanning Lidar Remote Sensing,” Environmental Modeling & Assessment, vol. 13, no. 4, pp. 473–481, 2008.

    Article  Google Scholar 

  4. Israel, M., “A Uav-based Roe Deer Fawn Detection System,” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 38, pp. 51–55, 2011.

    Google Scholar 

  5. Neitzel, F. and Klonowski, J., “Mobile 3D Mapping with a Low-Cost UAV System,” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 38, pp. 1–6, 2011.

    Google Scholar 

  6. Moon, S. K., Tan, Y. E., Hwang, J., and Yoon, Y.-J., “Application of 3D Printing Technology for Designing Light-Weight Unmanned Aerial Vehicle Wing Structures,” Int. J. Precis. Eng. Manuf.-Green Tech., vol. 1, no. 3, pp. 223–228, 2014.

    Article  Google Scholar 

  7. Floersheim, B. and Hou, G., “Optimization of Intelligent Munition Warfare using Agent-Based Simulation Software and Design of Experiments Methodology,” http://wwwresearchgatenet/publication/ 235181394_Optimization_of_Intelligent_Munition_Warfare_Using_ Agent-Based_Simulation_Software_and_Design_of_Experiments_ Methodology (Accessed NOV 17 2015)

    Google Scholar 

  8. Yu, N., Zhang, Y.-l., Yang, D.-l., and Yin, D., “Modeling and Simulation on Scanning Target using Laser Fuze of Intelligent,” Acta Armamentarii, vol. 34, no. 8, pp. 948–952, 2013.

    Google Scholar 

  9. Baranowski, L., “Feasibility Analysis of the Modified Point Mass Trajectory Model for the Need of Ground Artillery Fire Control Systems,” Journal of Theoretical and Applied Mechanics, vol. 51, no. 3, pp. 511–522, 2013.

    Google Scholar 

  10. Koruba, Z., Dziopa, Z., and Krzysztofik, I., “Dynamics of a Controlled Anti-Aircraft Missile Launcher Mounted on a Moveable Base,” Journal of Theoretical and Applied Mechanics, vol. 48, no. 2, pp. 279–295, 2010.

    Google Scholar 

  11. Li, D. and Guo, L.H., “The Application of Digital Signal Processing (DSP) for the Real Time Solving of Artillery Fire Control Exterior Trajectory,” Proc. of IEEE 3rd International Conference on Software Engineering and Service Science (ICSESS), pp. 32–35, 2012.

    Google Scholar 

  12. Wessam, M. E. and Chen, Z. H., “Firing Precision Evaluation for Unguided Artillery Projectile,” Proc. of International Conference on Artificial Intelligence and Industrial Engineering, pp. 584–587, 2015.

    Google Scholar 

  13. Ha, D.-J., Kim, B.-S., Kim, I.-K., Song, H.-I., and Lee, Y.-J., “A Study on Characteristics of Precession Motion for a Smart Munition,” Journal of the Korea Institute of Military Science and Technology, vol. 15, no. 3, pp. 257–265, 2012.

    Article  Google Scholar 

  14. Luo, Y., Zhang, Q., Yuan, N., Zhu, F., and Gu, F., “Three-Dimensional Precession Feature Extraction of Space Targets,” IEEE Transactions on Aerospace and Electronic Systems, vol. 50, no. 2, pp. 1313–1329, 2014.

    Article  Google Scholar 

  15. Tidrow, M. Z. and Dyer, W. R., “Infrared Sensors for Ballistic Missile Defense,” Infrared Physics & Technology, vol. 42, no. 3, pp. 333–336, 2001.

    Article  Google Scholar 

  16. Carlucci, D. E. and Jacobson, S. S., “Ballistics: Theory and Design of Guns and Ammunition,” CRC Press, pp. 169–282, 2013.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shinsuk Park.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jung, S., Jung, G., Lee, H. et al. Design and analysis of ballistic ground scanning system based on dynamics simulation. Int. J. Precis. Eng. Manuf. 17, 125–130 (2016). https://doi.org/10.1007/s12541-016-0016-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12541-016-0016-x

Keywords

Navigation