.png){kind=icon}
Return
An Enhanced Multi-ULA Sparse Array With Improved DOA Estimation Performance
.png){kind=icon}
PRE
AI
DOI：10.1109/LSP.2025.3588034.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In this letter, we introduce a novel sparse array (SA) architecture consisting of five uniform linear arrays (ULAs), referred to as the enhanced multi-ULA SA (EMUSA). A closed-form expression is provided to define the sensor positions of the EMUSA, as well as derivations for its uniform degrees of freedom (uDOFs) and the first three values of its weight function. Theoretical analysis demonstrates that EMUSA outperforms existing SAs in terms of achievable uDOFs, with the first three values of its weight function equal to 1 when the number of sensors is at least 18. Simulation results indicate that the proposed EMUSA exhibits significant advantages over existing SAs regarding uDOFs, coupling leakage (CL), and direction of arrival (DOA) estimation performance.
Keywords:
EMUSA
direction of arrival estimation
uniform linear arrays
mutual coupling effect
sparse arrays
uniform degrees of freedom
Journal
IF:
9.6
Papers:
1.1W
Citations:
1.7W
Organization
Cited Papers
Flexible extended nested arrays for DOA estimation: Degrees of freedom perspective.png)
SIGNAL PROCESSING
OAAI
SIGNAL PROCESSINGIF3.6
OAAIShareSave
ShareSaveShareSaveShareSaveTHE UNIFYING ROLE OF THE COARRAY IN APERTURE SYNTHESIS FOR COHERENT AND INCOHERENT IMAGINGPROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
PREAI
ShareSaveShareSaveShareSave
View more