Direction of Arrival Estimation using Advanced Signal Processing

2007 ◽  
Author(s):  
Marshall Grice ◽  
Jeff Rodenkirch ◽  
Anatoly Yakovlev ◽  
H. K. Hwang ◽  
Zekeriya Aliyazicioglu ◽  
...  
Keyword(s):  
Signal Processing ◽  
Direction Of Arrival ◽  
Direction Of Arrival Estimation

scholarly journals Effect of varying Number of Spacing between Antenna Elements, Snapshots, SNR on AP ML, AP-SSF and ESPRIT Algorithm

2021 ◽  
Vol 11 ◽  
pp. 143-150
Author(s):  
Vinod Kumar ◽  
Sanjeev Kumar Dhull
Keyword(s):  
Signal Processing ◽  
Maximum Likelihood ◽  
Key Words ◽  
Array Signal Processing ◽  
Direction Of Arrival ◽  
Performance Comparison ◽  
Direction Of Arrival Estimation ◽  
Multiple Sources ◽  
Alternating Projection ◽  
Esprit Algorithm

The direction of arrival estimation is the main key problem in array signal processing. In this paper, the alternating projection maximum Likelihood (AP-ML), Alternating projection sub space framework (APSSF) and ESPRIT algorithm are studied. The simulation is performed in MATLAB for single and multiple sources. The effect of the varying number of spacing between antenna elements, number of snapshots and SNR are studied. The performance comparison shows that ESPRIT algorithm performs better as compared to the AP-ML and AP-SSF. Key-Words: - AP-ML, AP-SSF, Direction of Arrival, ESPRIT, Snapshots, SNR

A Graph Signal Processing Approach to Direction of Arrival Estimation

2019 ◽  
Author(s):  
Leandro A. S. Moreira ◽  
Antonio L. L. Ramos ◽  
Marcello L. R. de Campos ◽  
Jose A. Apolinario ◽  
Felipe G. Serrenho
Keyword(s):  
Signal Processing ◽  
Direction Of Arrival ◽  
Direction Of Arrival Estimation ◽  
Graph Signal Processing ◽  
Processing Approach
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