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Automotive Frequency Modulated Continuous Wave Radar Interference Reduction Using Per-Vehicle Chirp Sequences

Electronics and Electrical Engineering, Hongik University, 72-1 Sangsu-Dong, Mapo-Gu, Seoul 04066, Korea
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Sensors 2018, 18(9), 2831; https://doi.org/10.3390/s18092831
Received: 12 July 2018 / Revised: 9 August 2018 / Accepted: 24 August 2018 / Published: 27 August 2018
(This article belongs to the Section Remote Sensors, Control, and Telemetry)
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Abstract

Recently, many automobiles adopt radar sensors to support advanced driver assistance system (ADAS) functions. As the number of vehicles with radar systems increases the probability of radar signal interference and the accompanying ghost target problems become serious. In this paper, we propose a novel algorithm where we deploy per-vehicle chirp sequence in a frequency modulated continuous wave (FMCW) radar to mitigate the vehicle-to-vehicle radar interference. We devise a chirp sequence set so that the slope of each vehicle’s chirp sequence does not overlap within the set. By assigning one of the chirp sequences to each vehicle, we mitigate the interference from the radar signals transmitted by the neighboring vehicles. We confirm the performance of the proposed method stochastically by computer simulation. The simulation results show that the detection and false alarm performance is improved significantly by the proposed method. View Full-Text
Keywords: FMCW radar; automotive radar; radar mutual interference; multi-target situation FMCW radar; automotive radar; radar mutual interference; multi-target situation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Son, Y.-S.; Sung, H.-K.; Heo, S.W. Automotive Frequency Modulated Continuous Wave Radar Interference Reduction Using Per-Vehicle Chirp Sequences. Sensors 2018, 18, 2831.

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