Mutual Interference Suppression and Signal Restoration in Automotive FMCW Radar Systems
Author:
Affiliation:
1. Department of Electrical and Computer Engineering and Institute of New Media & Communications (INMC), Seoul National University
2. Machine Learning Lab, AI & SW Research Center, Samsung Advanced Institute of Technology (SAIT)
3. Mando Corporation
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Software
Link
https://www.jstage.jst.go.jp/article/transcom/E102.B/6/E102.B_2018EBP3175/_pdf
Reference28 articles.
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3. [3] J.-E. Lee, H.-S. Lim, S.-H. Jeong, S.-C. Kim, and H.-C. Shin, “Enhanced iron-tunnel recognition for automotive radars,” IEEE Trans. Veh. Technol., vol.65, no.6, pp.4412-4418, June 2016. 10.1109/tvt.2015.2460992
4. [4] J.-E. Lee, H.-S. Lim, S.-H. Jeong, H.-C. Shin, S.-W. Lee, and S.-C. Kim, “Harmonic clutter recognition and suppression for automotive radar sensors,” International Journal of Distributed Sensor Networks, vol.13, no.9, pp.1-11, Sept. 2017. 10.1177/1550147717729793
5. [5] S. Lee, Y.-J. Yoon, J.-E. Lee, and S.-C. Kim, “Human-vehicle classification using feature-based SVM in 77-GHz automotive FMCW radar,” IET Radar, Sonar & Navigation, vol.11, no.10, pp.1589-1596, Oct. 2017. 10.1049/iet-rsn.2017.0126
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