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Conference Paper Azimuth Angle Resolution Improvement Technique with Neural Network
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Authors
Kim Hyungju, Yoo Sungjin, Jeong Byung Jang, Byun Woo Jin
Issue Date
202010
Source
International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1384-1387
DOI
https://dx.doi.org/10.1109/ICTC49870.2020.9289364
Project Code
20ZH1100, 연결의 한계를 극복하는 초연결 입체통신 기술 연구, Byun Woo Jin
Abstract
This paper introduces a method to improve the azimuth angle resolution using MIMO-FMCW radar. When using a MIMO-FMCW radar, a 2D radar image composed of a range axis and an azimuth axis can be obtained. The range resolution is determined by the bandwidth, and the azimuth resolution is determined by the length of the virtual antenna array and the number of virtual antenna elements. To improve the azimuth angle resolution while avoiding aliasing, in this paper, the virtual antenna was placed wider with non-uniform spacing. Then, deep learning technique was applied to reduce the side lobe effect. The proposed method was verified through experiments using simulation signals and emulation signals based on measurements.
KSP Keywords
Angle resolution, Azimuth Angle, Azimuth resolution, Non-uniform, Radar image, Range resolution, Resolution improvement, Virtual Antenna Array, antenna elements, deep learning(DL), fmcw radar