Target Position Correction Method in Monopulse GMTI Radar

GMTI 표적의 위치 보정 방법

  • Kim, So-Yeon (The 3rd R&D Institute, Agency for Defense Development)
  • 김소연 (국방과학연구소 제3기술연구본부)
  • Received : 2020.04.28
  • Accepted : 2020.06.11
  • Published : 2020.06.30


GMTI (Ground Moving Target Indication) radar system can detect ground moving targets and can provide position and velocity information of each target. However, the azimuth position of target has some offset because of the hardware errors such as mechanical tolerances. In this case, an error occurs no matter how accurate the monopulse ratio is. In this paper, target position correction method in azimuth direction has been proposed. The received sum and difference signals of monopulse GMTI system are post-processed to correct the target azimuth angle error. This method is simple and adaptive for nonhomogeneous area because it can be implemented by using only software without any hardware modification or addition.


  1. Axelsson, S., 2004. Position correction of moving targets in SAR imagery, Proc. of Society of Photo-Optical Instrumentation Engineers Conference, Barcelona, Spain, Jan. 12, vol. 5236, pp. 80-92.
  2. Baumgartner, S. V. and G. Krieger, 2012. Fast GMTI Algorithm for Traffic Monitoring Based On A Priori Knowledge, IEEE Transactions on Geoscience and Remote Sensing, 50(11): 4626-4641.
  3. Delphine, C.M., S. Ishuwa, and H. G. Christoph, 2012. Optimum SAR/GMTI Processing and Its Application to the Radar Satellite RADARSAT-2 for Traffic Monitoring, IEEE Transactions on Geoscience and Remote Sensing, 50(10): 3868-3881.
  4. Greene, M. and J. Stensby, 1987. Radar target pointing error reduction using extended Kalman filtering, IEEE Transactions on Aerospace and Electronic Systems, AES-23(2): 273-279.
  5. Jeon, Y.B., J.W. Kim, S.H. Rho, J.W. Ok, J.E. Lee, E.N. You, and S.H. Yoon, 2018. Practical Method to Calibrate Pointing Error of Air-borne Synthetic Aperture RADAR (SAR) System using Contact Type Coordinate Measuring Machine (CMM), Journal of Institute of Control, Robotics and Systems, 12(24): 1187-1193.
  6. Kim, S.Y., S.H. Yoon, H.I. Shin, J.H. Youn, J.W. Kim, and E.N. You, 2018. GMTI two channel raw data processing and analysis, Korean Journal of Remote Sensing, 34(6-1): 847-855 (in Korean with English abstract).
  7. Mahafza, B. R. and A. Z. Elsherbeni, 2000. Simulations for Radar Systems Design, Chapman & Hall/CRC, Boca Raton, FL, USA.
  8. Sherman, S. M., 1984. Monopulse Principles and Techniques, Artech House, Norwood, MA, USA.
  9. Sherman, S. M. and D. K. Barton, 2011. Monopulse Principles and Techniques 2nd edition, Artech House, Norwood, MA, USA.
  10. Shin, H.I., K.I. Kwon, S.H. Yoon, H.S. Kim, J. Hwang, Y.C. Ko, E.N. You, and J.W. Kim, 2017. SAR Test-bed to Acquire Raw Data and Form Realtime Image, Journal of the Korea Institute of Military Science and Technology, 20(2): 181-186.
  11. Skolnik, M.I., 2001. Introduction to RADAR Systems, McGraw-Hill Higher Education, New York, NY, USA.
  12. Yadin, E., 1996. A performance evaluation model for a two port interferometer SAR-MTI, Proc. of 1996 IEEE National Radar Conference, Ann Arbor, MI, May 13-16, pp. 261-266.
  13. Zhuang, H. and Z. S. Roth, 1995. Modeling gimbal axis misalignments and mirror center offset in a single-beam laser tracking measurement system, The International Journal of Robotics Research, 14(3): 211-224.