1-Bit direction of arrival estimation via improved complex-valued binary iterative hard thresholding

2022 ◽  
Vol 120 ◽  
pp. 103265
Author(s):  
Pengyu Wang ◽  
Huichao Yang ◽  
Zhongfu Ye
Keyword(s):  
Direction Of Arrival ◽  
Direction Of Arrival Estimation ◽  
Hard Thresholding ◽  
Iterative Hard Thresholding ◽  
Complex Valued

Complex-valued neural network for direction of arrival estimation

1994 ◽  
Vol 30 (7) ◽  
pp. 574-575 ◽  
Author(s):  
W.-H. Yang ◽  
K.-K. Chan ◽  
P.-R. Chang
Keyword(s):  
Neural Network ◽  
Direction Of Arrival ◽  
Direction Of Arrival Estimation ◽  
Complex Valued

Direction of Arrival Estimation Under Near-Field Interference Using Matrix Filter

2015 ◽  
Vol 23 (04) ◽  
pp. 1540007 ◽  
Author(s):  
Guolong Liang ◽  
Wenbin Zhao ◽  
Zhan Fan
Keyword(s):  
Near Field ◽  
Direction Of Arrival ◽  
Doa Estimation ◽  
Direction Of Arrival Estimation ◽  
Far Field ◽  
Data Simulation ◽  
Estimation Algorithms ◽  
Simulation Results

Direction of arrival (DOA) estimation is of great interest due to its wide applications in sonar, radar and many other areas. However, the near-field interference is always presented in the received data, which may result in degradation of DOA estimation. An approach which can suppress the near-field interference and preserve the far-field signal desired by using a spatial matrix filter is proposed in this paper and some typical DOA estimation algorithms are adjusted to match the filtered data. Simulation results show that the approach can improve capability of DOA estimation under near-field inference efficiently.

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