DOA Estimation by Synthetic Aperture Measurement with Compressed Sensing and Neural Network

This paper proposes a DOA estimation method by synthetic aperture measurement with neural network and compressed sensing. The proposed method enables to simplify the synthetic aperture measurement by high-resolution of compressed sensing. Additionally, preprocessing technique using synthetic aperture and neural network realizes to reduce computational complexity of compressed sensing. Thus, proposed method is suitable for radio wave environment survey.