The Journal of Korean Institute of Electromagnetic Engineering and Science (한국전자파학회논문지)

The Korean Institute of Electromagnetic Engineering and Science (한국전자파학회)
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Simulation of Bistatic Inverse Synthetic Aperture Radar Image Generation

바이스태틱 ISAR 영상 생성 시뮬레이션

  • Han, Seung-Ku (Department of Electrical Engineering, Pohang University of Science and Technology) ;
  • Kim, Kyung-Tae (Department of Electrical Engineering, Pohang University of Science and Technology) ;
  • Yang, Eun-Jung (Agency for Defense Development)
  • Received : 2013.10.07
  • Accepted : 2014.02.10
  • Published : 2014.04.30
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Abstract

This paper introduces a bistatic ISAR imaging technique. In bistatic geometry, the transmitter and receiver are placed in different locations. The monostatic ISAR is inadequate not only for obtaining images on targets approaching along the radar's line of sight, but also for stealth targets. In this paper, geometry, signal modeling as well as bistatic Doppler for bistatic ISAR are introduced to address these problems. Simulations results show bistatic ISAR images as well as monostatic ISAR images against target's moving scenarios, and analyze their differences for each scenario.

본 논문은 송신 레이더와 수신 레이더의 위치가 서로 다른 바이스태틱 기하 구조에서의 ISAR(Inverse Synthetic Apeture Radar) 영상 생성 기법에 대해 연구하였다. 모노스태틱 ISAR는 레이더의 LOS(Line of Sight) 방향으로 진행하는 표적에 대해 LOS의 수직 방향으로 충분한 해상도를 얻기 힘들고, 스텔스 표적의 탐지에도 적합하지 않다. 바이스태틱 ISAR는 이러한 모노스태틱 ISAR의 단점을 해결할 수 있다. 바이스태틱 기하 구조와 신호 모델링, 바이스태틱 도플러 등의 바이스태틱 ISAR 영상을 얻기 위한 과정을 소개하였다. 시뮬레이션을 통해 표적의 이동 시나리오에 따른 모노스태틱 ISAR 영상과 바이스태틱 ISAR 영상을 생성 후 각 시나리오마다 영상의 차이를 비교 분석하였다.

Keywords

References

  1. F. Berizzi, "ISAR imaging of targets at low elevation angles", IEEE Trans. on Aerospace and Electronic Systems, vol. 37, no 2, Apr. 2001.
  2. Zhishun She, Y. Liu, "Autofocus for ISAR imaging using higher order statistics", IEEE Trans. on Geoscience and Remote Sensing, vol. 5, no. 2, Apr. 2008.
  3. G. Zweig, "Super-resolution Fourier transforms by optimisation, and ISAR imaging", IEE Proceeding Radar, Sonar and Navigation, vol. 150, no. 4, Aug. 2003.
  4. M. Martorella, J. Palmer, J. Homer, B. Littleton, and L. D. Longstaff, "On bistatic inverse synthetic aperture radar", IEEE Transactions on Aerospace and Electronic Systems, vol. 43, no 3, pp. 1125-1134, Jul. 2007. https://doi.org/10.1109/TAES.2007.4383602
  5. M. Martorella, "Analysis of the robustness of bistatic inverse synthetic aperture radar in the presence of phase synchronisation errors", IEEE Transactions on Aerospace and Electronic Systems, vol. 47, no 4, Oct. 2011
  6. Changzheng Ma, T. -S. Yeo, Q. -G. Guo, and P. Wei, "Bistatic ISAR imaging incorporating interferometric 3-D imaging technique", IEEE Trans. on Geoscience and Remote Sensing, vol. 50, no. 10, Oct. 2012.
  7. L. C. Potter, D. -M. Chiang, R. Carriere, and Michael J. Gerry, "GTD-based parametric model for radar scattering", IEEE Trans. on Antennas and Propagation, vol. 43, no. 10, Oct. 1995.
  8. Nicholas J. Willis, Bistatic Radar, Artech House, 1991.
  9. Bassem R. Mahafza, Radar Systems Analysis and Design Using Matlab, Chapman & Hall/Crc, 2000.
  10. Xi Li, Guosui Liu, and Jinlin Ni, "Autofocusing of ISAR images based on entropy minimization", IEEE Transactions on Aerospace and Electronic Systems, vol. 35, no, 4, pp. 1240-1252, Oct. 1999. https://doi.org/10.1109/7.805442

Cited by

  1. Radar Target Recognition Using a Fusion of Monostatic/Bistatic ISAR Images vol.16, pp.12, 2018, https://doi.org/10.14801/jkiit.2018.16.12.93