scholarly journals Theoretical and Experimental Comparison of Off-Grid Sparse Bayesian Direction-of-Arrival Estimation Algorithms

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 18075-18087 ◽  
Author(s):  
Anup Das
2015 ◽  
Vol 23 (04) ◽  
pp. 1540007 ◽  
Author(s):  
Guolong Liang ◽  
Wenbin Zhao ◽  
Zhan Fan

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.


Author(s):  
Adam Mohamed Ahmed Abdo ◽  
Aamer Mohamed Huroon Mohamed ◽  
Mohamed H. M. Nerma ◽  
Sara Yahia Altahir Mohamed ◽  
Adam Osman Ahmed Mohammed

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