A Novel Multi-Target Detection Algorithm for Automotive FMCW Radar

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초록

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