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A Novel Multi-Target Detection Algorithm for Automotive FMCW Radar
- Son, Younsik;
- Heo, Seo Weon
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WEB OF SCIENCE
3초록
In automotive radar systems resolution of each target in multi-target environment is necessary. A conventional FMCW radar which transmits and receives triangular waves, does not effectively remove the ghost-targets which arise in the process of Doppler-range localization process. Using a sophisticated waveform design can help removing the ghosttargets, however, there remains many of them. In this paper, we propose a novel ghost-target removal algorithm using the inter-relationship between the upbeat and downbeat frequency after the Fast Fourier Transform(FFT).
키워드
Multi-target detection; Automotive Radar; FMCW
- 제목
- A Novel Multi-Target Detection Algorithm for Automotive FMCW Radar
- 저자
- Son, Younsik; Heo, Seo Weon
- 발행일
- 2018
- 유형
- Proceedings Paper
- 저널명
- 2018 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC)
- 페이지
- 186 ~ 188
- 언어
- ENG
- 출판사
- IEEE
- 발행국가
- 미국
- 분량
- 3 페이지