Transactions of the Korean Society of Automotive Engineers (한국자동차공학회논문집)

The Korean Society of Automotive Engineers (한국자동차공학회)
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Development of Human Detection Algorithm for Automotive Radar

보행자 탐지용 차량용 레이더 신호처리 알고리즘 구현 및 검증

  • Hyun, Eugin (ART (Advanced Radar Technology) Lab., DGIST Convergence Research Institute) ;
  • Jin, Young-Seok (ART (Advanced Radar Technology) Lab., DGIST Convergence Research Institute) ;
  • Kim, Bong-Seok (ART (Advanced Radar Technology) Lab., DGIST Convergence Research Institute) ;
  • Lee, Jong-Hun (ART (Advanced Radar Technology) Lab., DGIST Convergence Research Institute)
  • 현유진 (DGIST 융합연구원 첨단레이더연구실) ;
  • 진영석 (DGIST 융합연구원 첨단레이더연구실) ;
  • 김봉석 (DGIST 융합연구원 첨단레이더연구실) ;
  • 이종훈 (DGIST 융합연구원 첨단레이더연구실)
  • Received : 2016.09.12
  • Accepted : 2016.12.08
  • Published : 2017.01.01
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Abstract

For an automotive surveillance radar system, fast-chirp train based FMCW (Frequency Modulated Continuous Wave) radar is a very effective method, because clutter and moving targets are easily separated in a 2D range-velocity map. However, pedestrians with low echo signals may be masked by strong clutter in actual field. To address this problem, we proposed in the previous work a clutter cancellation and moving target indication algorithm using the coherent phase method. In the present paper, we initially composed the test set-up using a 24 GHz FMCW transceiver and a real-time data logging board in order to verify this algorithm. Next, we created two indoor test environments consisting of moving human and stationary targets. It was found that pedestrians and strong clutter could be effectively separated when the proposed method is used. We also designed and implemented these algorithms in FPGA (Field Programmable Gate Array) in order to analyze the hardware and time complexities. The results demonstrated that the complexity overhead was nearly zero compared to when the typical method was used.

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References

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