Paper Info
Learning Representations for Neural Networks Applied to Spectrum-Based Direction-of-Arrival Estimation for Automotive Radar
M Gall, M Gardill, J Fuchs, T Horn
2020 IEEE/MTT-S International Microwave Symposium (IMS), 1031-1034, 2020.
Reviews
From
yassendobrev, rated
4/5.
June 28, 2021.
A paper using machine learning to achieve DoA super-resolution. They don't say much about the network itself, but it sounds like it's pretty big. Multiplying the spectrum by the radiation pattern makes no sense to me and leads to problems as they show. The idea to represent the targets as wide peaks instead of Diracs during training sounds good.
Learning Representations for Neural Networks Applied to Spectrum-Based Direction-of-Arrival Estimation for Automotive Radar
M Gall, M Gardill, J Fuchs, T Horn
2020 IEEE/MTT-S International Microwave Symposium (IMS), 1031-1034, 2020.
Reviews
From
yassendobrev, rated
4/5.
June 28, 2021.
A paper using machine learning to achieve DoA super-resolution. They don't say much about the network itself, but it sounds like it's pretty big. Multiplying the spectrum by the radiation pattern makes no sense to me and leads to problems as they show. The idea to represent the targets as wide peaks instead of Diracs during training sounds good.