A Survey for State-of-The-Art Algorithm of DoA Estimation Problem Using Array Antennas 


Vol. 48,  No. 2, pp. 129-149, Feb.  2023
10.7840/kics.2023.48.2.129


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  Abstract

In communication and radar systems using array antennas, the problem of estimating the direction of arrival (DoA) of signals is significant. To acquire channel state information in wireless communication system using the mmWave frequency band, it is necessary to accurately estimate DoA of signals reflected through multiple paths. The radar system also needs to estimate DoA of the signal reflected back from the target to acquire the target's position information. In this paper, we perform a survey for DoA estimation methods that have been studied in academia for the past fifty years, and summarize the Cramér–Rao Lower Bound to understand the theoretical limit of DoA estimation accuracy, which is the minimum value of the variance of the direction of arrival estimation error of the unbiased estimator. In addition, the representative algorithms for DoA estimation using array antennas over the past fifty years are divided into three main methods, 1) beamforming, 2) subspace, and 3) root search methods, and we compare DoA estimation methods and analyze in terms of estimation accuracy and computational complexity of each estimation method via the simulation results. Additionally, recent deep learning-based DoA estimation algorithms and trends in DoA estimation algorithms for correlated source signals are introduced.

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[IEEE Style]

J. Yim, S. Lee, S. Noh, H. Youn, N. Lee, "A Survey for State-of-The-Art Algorithm of DoA Estimation Problem Using Array Antennas," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 2, pp. 129-149, 2023. DOI: 10.7840/kics.2023.48.2.129.

[ACM Style]

Jungbin Yim, Sangpill Lee, Sungmin Noh, Hyunsang Youn, and Namyoon Lee. 2023. A Survey for State-of-The-Art Algorithm of DoA Estimation Problem Using Array Antennas. The Journal of Korean Institute of Communications and Information Sciences, 48, 2, (2023), 129-149. DOI: 10.7840/kics.2023.48.2.129.

[KICS Style]

Jungbin Yim, Sangpill Lee, Sungmin Noh, Hyunsang Youn, Namyoon Lee, "A Survey for State-of-The-Art Algorithm of DoA Estimation Problem Using Array Antennas," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 2, pp. 129-149, 2. 2023. (https://doi.org/10.7840/kics.2023.48.2.129)
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pISSN : 1226 - 4717
eISSN : 2287 - 3880