scholarly journals Uniform and nonuniform V-shaped planar arrays for 2-D direction-of-arrival estimation

Radio Science ◽  
2009 ◽  
Vol 44 (5) ◽  
pp. n/a-n/a ◽  
Author(s):  
T. Filik ◽  
T. E. Tuncer
Keyword(s):  
Direction Of Arrival ◽  
Direction Of Arrival Estimation ◽  
Planar Arrays

scholarly journals Two-Dimensional Direction of Arrival Estimation for Coprime Planar Arrays via Polynomial Root Finding Technique

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 19540-19549 ◽  
Author(s):  
Dong Zhang ◽  
Yongshun Zhang ◽  
Guimei Zheng ◽  
Boyu Deng ◽  
Cunqian Feng ◽  
...  
Keyword(s):  
Direction Of Arrival ◽  
Direction Of Arrival Estimation ◽  
Two Dimensional ◽  
Root Finding ◽  
Planar Arrays ◽  
Polynomial Root Finding

Two-Dimensional Direction-of-Arrival Estimation for Co-Prime Planar Arrays: A Partial Spectral Search Approach

2016 ◽  
Vol 16 (14) ◽  
pp. 5660-5670 ◽  
Author(s):  
Qihui Wu ◽  
Fenggang Sun ◽  
Peng Lan ◽  
Guoru Ding ◽  
Xiaofei Zhang
Keyword(s):  
Direction Of Arrival ◽  
Direction Of Arrival Estimation ◽  
Two Dimensional ◽  
Planar Arrays ◽  
Search Approach

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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