Direction of Arrival Estimation for Coherent Signals’ Method Based on LSTM Neural Network

Table 1

Methods of estimating the DOA based on the signal spectrum.

Author	Method	Objective	Dataset
Yan Gao et al, 2014	MUSIC	An improved music algorithm for DOA estimation of coherent signals	N/A
Zhang-Meng Liu et al., 2018	DNN	Direction-of-arrival estimation based on deep neural networks with robustness to array imperfections	19800 samples
Wenli Zhu et al., 2019	CNN	A deep learning architecture for broadband DOA estimation	144000 samples
Min Chen et al., 2020	DNN	Deep neural network for estimation of direction of arrival with antenna array	121000 samples
Georgios K. Papageorgiou et al., 2020	CNN	Deep networks for direction-of-arrival estimation in low SNR	36300 samples
Van-Sang Doan, Dong-Seong Kim, 2020	MUSIC	DOA estimation of multiple noncoherent and coherent signals using element transposition of covariance matrix	N/A
M. Wajid, B. Kumar, A. Goel, A. Kumar and R. Bahl, 2020	RNN	Direction of arrival estimation with uniform linear array based on recurrent neural network	N/A
Hyeonjin Chung et al., 2021	CNN & DNN	Off-grid DoA estimation via two-stage cascaded neural network	106800 samples
Houhong Xiang et al, 2021	LSTM	Improved direction-of-arrival estimation method based on LSTM neural networks with robustness to array imperfections	150000 samples