scholarly journals Generalization of super-resolution minimal polynomial method for direction of arrival estimation under spatially colored noise and interference conditions.

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
O.A. Shmonin ◽  

Lobachevsky State University of Nizhny Novgorod, Gagarin avenue str., 23, Nizhny Novgorod, 603950 Russia

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Hamid Ali Mirza ◽  
Laeeq Aslam ◽  
Muhammad Asif Zahoor Raja ◽  
Naveed Ishtiaq Chaudhary ◽  
Ijaz Mansoor Qureshi ◽  
...  

In this paper, a method for solving grid mismatch or off-grid target is presented for direction of arrival (DOA) estimation problem using compressive sensing (CS) technique. Location of the sources are at few angles as compare to the entire angle domain, i.e., spatially sparse sources, and their location can be estimated using CS methods with ability of achieving super resolution and estimation with a smaller number of samples. Due to grid mismatch in CS techniques, the source energy is distributed among the adjacent grids. Therefore, a fitness function is introduced which is based on the difference of the source energy among the adjacent grids. This function provides the best discretization value for the grid through iterative grid refinement. The effectiveness of the proposed scheme is verified through extensive simulations for different number of sources.


Author(s):  
Thorsten Nowak ◽  
Markus Hartmann ◽  
Jorn Thielecke ◽  
Niels Hadaschik ◽  
Christopher Mutschler

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