DOA Estimation Method Based on Space-Time Coding Antennas With Orthogonal Codes

Recently, direction-of-arrival (DOA) estimation has been widely employed in wireless communication networks, electromagnetic (EM) environment management, and radar tracking. However, traditional DOA estimation algorithms and systems are based on multiple digital receivers with expensive hardware. To...

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Bibliographic Details
Published in:IEEE transactions on antennas and propagation 2024-02, Vol.72 (2), p.1173-1181
Main Authors: Fang, Zuqi, Zhou, Qunyan, Dai, Jun Yan, Qi, Zhen Jie, Zhang, Jianan, Cheng, Qiang, Cui, Tie Jun
Format: Article
Language:English
Subjects:
Algorithms
Antenna array
Antenna measurements
Antennas
Coding
Communication networks
Direction of arrival
direction of arrival (DOA)
Direction-of-arrival estimation
Encoding
Environmental management
Estimation
Incident waves
multiple signal classification (MUSIC) algorithm
orthogonal codes
Radar tracking
Receiving antennas
Signal classification
Signal processing algorithms
space-time coding
Spacetime
Wireless communications
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Summary:Recently, direction-of-arrival (DOA) estimation has been widely employed in wireless communication networks, electromagnetic (EM) environment management, and radar tracking. However, traditional DOA estimation algorithms and systems are based on multiple digital receivers with expensive hardware. To overcome this challenge, we propose a novel DOA estimation method based on a space-time coding antenna. With the aid of space-time coding antenna and orthogonal codes, the received signal of each antenna element can be reproduced with high accuracy, helping to obtain more information on the incident waves. In this case, traditional super-resolved DOA estimation algorithms can be employed to estimate more complicated signals using the space-time coding antenna. Compared to the previous studies on similar accuracy, the proposed method has lower complexity and higher flexibility due to the reproduction of complete element information and the use of multiple signal classification (MUSIC) algorithm. The method can operate in the azimuth angle between −60° and 60°, with angle estimation errors of less than 1.5°, the estimation RMSE of 0.7°, and high reliability for different modulated signals.
ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2023.3345469