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보행자 탐지용 차량용 레이더 신호처리 알고리즘 구현 및 검증

Title
보행자 탐지용 차량용 레이더 신호처리 알고리즘 구현 및 검증
Translated Title
Development of Human Detection Algorithm for Automotive Radar
Authors
현유진진영석김봉석이종훈
DGIST Authors
현유진이종훈
Issue Date
2017-01
Citation
한국자동차공학회 논문집, 25(1), 92-102
Type
Article
Keywords
Pedestrian detectionAutomotive radarClutter cancellationRadar signal processing algorithm보행자 탐지차량용 레이더클러터 제거레이더 신호처리 알고리즘
ISSN
1225-6382
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.
URI
http://hdl.handle.net/20.500.11750/5902
DOI
10.7467/KSAE.2017.25.1.092
Publisher
한국자동차공학회
Related Researcher
  • Author Hyun, Eugin  
  • Research Interests Radar system, Radar signal processing, Automotive radar, Surveillance radar, Commercial radar, Defence radar,
Files:
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Collection:
Convergence Research Center for Future Automotive Technology1. Journal Articles


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