A direction of arrival estimation method based on deep learning. (May 2020)

• Record Type: Journal Article
• Authors: Liu, Yuji; Chen, Huixiu; Wang, Biao
• Is Part Of: Journal of physics. Volume 1550:Number 3(2020)
• Publication Date: 2020-05
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1550/3/032066
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Direction of arrival (DOA) estimation is a research subject of many experts and scholars in information, control and communication, and it is also a key technology in smart antenna and sonar array system. In this paper, the direction of arrival of the signal is estimated by establishing a classification network model of deep learning. After training, the network model can effectively identify the direction of arrival of the unknown signal. Under the same signal-to-noise ratio (SNR) environment, it is verified by software simulation that the accuracy is improved compared with the classical music algorithm.