@inproceedings{b72a57982c6f4a1da08563bb11c8dd84,
title = "Smoothing Frequency Estimation Method for Automotive Radar",
abstract = "We present a smoothing frequency method to jointly estimate range, azimuth angle and radial velocity of multiple targets for automotive applications with MIMO-FMCW radar. In order to obtain super-resolution estimations of targets in dense environment, we construct a shift invariant structure to smooth data in the time-space domain and exploit subspace-based algorithms. The number of detectable targets is not limited by the number of MIMO virtual antennas and the method only requires two chirps' data to achieve the functionality. Simulated and experimental results are shown by applying the proposed method to a 77-GHz MIMO-FMCW radar.",
keywords = "FMCW radar, MIMO, automotive radar, targets localization, velocity estimation",
author = "Senyue Xiao and Jun Wang and Bin Yang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 International Radar Conference, RADAR 2019 ; Conference date: 23-09-2019 Through 27-09-2019",
year = "2019",
month = sep,
doi = "10.1109/RADAR41533.2019.171321",
language = "英语",
series = "2019 International Radar Conference, RADAR 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 International Radar Conference, RADAR 2019",
address = "美国",
}