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

  • 제19권10호
  • /
  • Pages.1175-1184
  • /
  • 2008
  • /
  • 1226-3133(pISSN)
  • /
  • 2288-226X(eISSN)
한국전자파학회 (The Korean Institute of Electromagnetic Engineering and Science)
권호 표지
DOI QR코드

DOI QR Code

1차원 합성 개구면을 가진 초광대역 레이더의 시영역 기반 영상화 기법 비교

Comparison of Time-Domain Imaging Algorithms for Ultra-Wideband Radar with One-Dimensional Synthetic Aperture

  • 김대만 (광주과학기술원 정보기전공학부) ;
  • 홍진영 (삼성탈레스주식회사) ;
  • 김강욱 (광주과학기술원 정보기전공학부)
  • Kim, Dae-Man (School of Information of Mechatronics, Gwangju Institute of Science and Technology) ;
  • Hong, Jin-Young (Samsung Thales Co. Ltd.) ;
  • Kim, Kang-Wook (School of Information of Mechatronics, Gwangju Institute of Science and Technology)
  • 발행 : 2008.10.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 논문에서는 Delay-Sum Back Projection(DSBP) 기법과 finite-difference time-domain 방법으로 구현된 time reversal(FDTD-TR) 기법을 실험 데이터에 적용하고, 그 결과를 비교한다 두 기법은 모두 시영역에 기반을 둔 기법으로서 초광대역 레이더 신호를 처리하여 표적의 실제 위치와 모양에 가까운 영상을 생성할 수 있다. 실험을 위한 초광대역 레이더는 네트워크 분석기, 저항성 V 다이폴 안테나, 스캐너, 제어 컴퓨터로 구성되며, 레이더 개구면은 안테나를 1차원 스캔하여 합성된다. 실험 데이터는 신호 왜곡과 클러터를 포함하는데, 이를 제거하는 보정 절차가 수행된다. 두 기법은 동일한 플랫폼에서 동일한 데이터에 적용되며, DSBP 기법은 FDTD-TR 기법에 비해 더 나은 영상을 생성하지만 더 많은 시간이 걸린다는 것을 보인다.

Delay-sum back projection(DSBP) algorithm and the time reversal algorithm based on the finite-difference time-domain method are compared. The two algorithms, which operate in the time domain, can process the ultra-wideband (UWB) radar data to generate images that are close to the original location and shape of the target. For the experiment, the UWB radar consists of a network analyzer, a resistive V dipole antenna, a scanner, and a control computer. The radar aperture is synthesized by linearly scanning the antenna. A calibration procedure is applied to the measured data to remove signal distortion and clutter. The two algorithms are applied to the same data on the same platform. It is shown that the DSBP algorithm produces better images but takes longer time to produce the images than the FDTD-TR algorithm.

키워드

참고문헌

  1. James D. Taylor, Ultra-wideband Radar System, CRC press, 1995
  2. C. Ozdemir, S. Lim, and H. Ling, "A synthetic-aperture algorithm for ground penetrating radar imaging", Microwave and Optical Technology Letters, vol. 42, pp. 412-414, Jul. 2004 https://doi.org/10.1002/mop.20320
  3. Cheng Yan, Zhang Jian Zhong, "Diffraction tomography algorithm for ground penetrating radar", IEEE Int. Sym. Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, Hangzhou, pp. 913-916, Aug. 2007
  4. Colin Gilmore, Ian Jeffrey, and Joe LoVetri, "Derivation and comparison of SAR and frequency-wavenumber migration within a common inverse scalar wave problem formulation", IEEE Trans. Geoscience and Remote Sensing, vol. 44, pp. 1454-1461, Jun. 2006 https://doi.org/10.1109/TGRS.2006.870402
  5. Lei Wentai, Huang Chunlin, and Su Yi, "A real- time back projection imaging algorithm for impulse surface penetrating radar", IEEE Int. Geoscience and Remote Sensing Symposium, pp. 1734-1737, Jul. 2005
  6. Jose M. F. Moura, Yuanwei Jin, "Detection by time reversal: single antenna", IEEE Trans. Signal Processing, vol. 55, pp. 187-201, Jan. 2007 https://doi.org/10.1109/TSP.2006.882114
  7. E. Maeland, "Seismic migration in stratified media", IEEE Trans. Geoscience and Remote Sensing, vol. 29, pp. 798-800, Sep. 1991 https://doi.org/10.1109/36.83998
  8. N. Chakroun, M. A. Fink, and F. Wu, "Time reversal processing in ultrasonic nondestructive testing", IEEE Trans. Ultrasonics, Ferroelectrics and Frequency Control, vol. 42, pp. 1087-1098, Nov. 1995 https://doi.org/10.1109/58.476552
  9. Allen Taflove, Susan C. Hagness, Computational Electrodynamics: The Finite-Difference Time-Domain Method, Artech House, 2005
  10. Data Sheet for NI GPIB-ENET/100, National Instruments Corporation, 2004
  11. David M. Pozar, Microwave Engineering, John Wiley & Sons, 2005
  12. Kyungryul Kam, Kangwook Kim, "Detection of buried objects using ultra-wideband radar: Newly launched mine detection project in South Korea", Proc. of SPIE, Florida, vol. 6953, Apr. 2008
  13. MATLAB 7 Getting Started Guide, The Math- Works, Inc.

피인용 문헌

  1. Development of Hazardous Objects Detection Technology based on Metal/Non-Metal Detector vol.20, pp.2, 2014, https://doi.org/10.5302/J.ICROS.2014.13.9003