Super resolution DOA for FMCW automotive radar imaging

Conference paper (2018)

Authors

S. Xu Microwave Sensing, Signals & Systems - EEMCS
J. Wang Microwave Sensing, Signals & Systems - EEMCS
Alexander Yarovoy Microwave Sensing, Signals & Systems - EEMCS
Research Group
Microwave Sensing, Signals & Systems (EEMCS) (TU Delft)
Copyright: © 2018 S. Xu, J. Wang, Alexander Yarovoy
DOI
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https://doi.org/10.1109/CAMA.2018.8530609
More Info
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Published Date

2018

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Microwave Sensing, Signals & Systems

Abstract

Radar imaging using ultra-wideband (UWB) automotive radar is investigated. To overcome poor cross-range resolution of traditional beamforming (BF) algorithms, super resolution technique is applied for the Direction of Arrival (DOA) estimation. Both super-resolution algorithm and conventional BF method are used to process experimental data collected with UWB frequency modulated continuous wave (FMCW) automo- tive radar. Algorithm performances are thoroughly compared.

Files

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