한국자동차공학회논문집 (Transactions of the Korean Society of Automotive Engineers)

  • 제22권7호
  • /
  • Pages.31-39
  • /
  • 2014
  • /
  • 1225-6382(pISSN)
  • /
  • 2234-0149(eISSN)
한국자동차공학회 (The Korean Society of Automotive Engineers)
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FMCW 레이더에서의 1D FRI (Finite Rate of Innovation) 초고해상도 기법 적용 및 분석

Application and Analysis of 1D FRI (Finite Rate of Innovation) Super-resolution Technique in FMCW Radar

  • 유경우 (한국과학기술원 조천식 녹색교통대학원) ;
  • 공승현 (한국과학기술원 조천식 녹색교통대학원)
  • Yoo, Kyungwoo (The Cho Chun Shik Graduate School for Green Transportation, KAIST) ;
  • Kong, Seung-Hyun (The Cho Chun Shik Graduate School for Green Transportation, KAIST)
  • 투고 : 2014.01.09
  • 심사 : 2014.07.03
  • 발행 : 2014.11.01
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초록

Recently, as Intelligent Transportation System (ITS) and self-driving system become influential in the ground transportation system, automotive radar systems have been actively studied among the various radar systems to implement the vehicle collision detection system and distance measurement system between vehicles. Most of the automotive radars are Frequency Modulated Continuous Wave (FMCW) radar type which can calculate distance and velocity of target by estimating the frequency difference between the transmitted signal and received signal. Therefore, accurate frequency estimation is very important in the FMCW radar system. For this reason, to improve the measurement accuracy of the FMCW radar, Reverse Directional FRI (RD-FRI) Super-Resolution technique which has high frequency estimation accuracy is applied to the FMCW radar system. The feasibility of the proposed technique is evaluated with simulation results and compared with FFT and conventional Super-Resolution techniques. The simulation results show that the proposed technique estimates the frequency with high accuracy and the distance with centimeter accuracy.

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참고문헌

  1. D. H. Kim and P. D. Cho, "Application and Perspective on Automotive Radar Technology," Electronics and Telecommunications Trends, Vol.18, No.1, pp.33-41, 2003.
  2. S. Clark, Autonomous Land Vehicle Navigation Using Millimeter Wave Radar, Ph. D. Dissertation, University of Sydney, Sydney, 1999.
  3. P. Dragotti, M. Vetterli and T. Blu, "Sampling Moments and Reconstructing Signals of Finite Rate of Innovation: Shannon Meets Strang-fix," IEEE Trans. Signal Process, Vol.55, No.5, pp.1741-1757, 2007. https://doi.org/10.1109/TSP.2006.890907
  4. M. Vetterli, P. Marziliano and T. Blu, "Sampling Signals with Finite Rate of Innovation," IEEE Trans. Signal Process, Vol.50, No.6, pp.1417-1428, 2002. https://doi.org/10.1109/TSP.2002.1003065
  5. E. G. Hyun, S. D. Kim, C. H. Park and J. H. Lee, "Design of 77GHz FMCW Automotive Radar," KSAE Annual Conference Proceedings, pp.535-539, 2008.
  6. B. R. Mahafza, Radar Systems Analysis and Design Using MATLAB, Chapman & Hall/CRC, London, pp.126-129, 2005.
  7. D. D. Li, S. C. Luo and R. M. Knox, "Millimeter-wave FMCW Radar Transceiver / Antenna for Automotive Applications," Appl. Microwave Wireless, Vol.11, No.6, pp.58-68, 1999.
  8. J. Cadzow, "Signal Enhancement-A Composite Property Mapping Algorithm," IEEE Trans. Acoustic, Speech. and Signal Process, Vol.36, No.1, pp.49-62, 1988. https://doi.org/10.1109/29.1488
  9. R. O. Schmidt, "Multiple Emitter Location and Signal Parameter Estimation," IEEE Trans. Antennas and Propagat, Vol.34, No.3, pp.276-280, 1986. https://doi.org/10.1109/TAP.1986.1143830
  10. T. K. Sarkar and O. Pereira, "Using the Matrix Pencil Method to Estimate the Parameters of a Sum of Complex Exponentials," IEEE Trans. Antennas Propagat. Mag., Vol.37, No.1, pp.48-55, 1995.