Direction of Arrival Estimation Algorithm Based on Attention-CNN
Authors: 
Jie Yang, Huifang Li, Tailin ZhaoAuthors Info & Claims
Jie Yang, Huifang Li, Tailin ZhaoAuthors Info & ClaimsPages 790 - 796
Abstract
At present, the discussion of DOA estimation for targets is mainly aimed at the ideal receiving antenna array model, and the number of estimated sources is small. In order to improve the DOA estimation accuracy and processing speed of the defective receiving antenna array, an Attention-CNNDOA estimation method based on convolutional neural network is proposed. Firstly, the original sampling signal is processed and divided into array steering vectors composed of real and imaginary parts as input signals. The convolution layer is used to get the characteristics from the original signal, and the output is a vector of the spatial spectrum, the size is the same as the number of array antennas. In contrast to the traditional DOA method, the proposed method has higher estimation accuracy and faster processing speed in the environment of array defects and low SNR.
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Published In
September 2023
1540 pages
ISBN:9798400707674
DOI:10.1145/3641584
Copyright © 2023 ACM.
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Published: 14 June 2024
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AIPR 2023
AIPR 2023: 2023 6th International Conference on Artificial Intelligence and Pattern Recognition
September 22 - 24, 2023
Xiamen, China
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