.png){kind=icon}
Return
Novel Sparse Array Design Based on the Maximum Inter-Element Spacing Criterion
.png){kind=icon}
OA
AI
DOI：10.1109/LSP.2022.3194814.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
A novel sparse array (SA) structure is proposed based on the maximum inter-element spacing (IES) constraint (MISC) criterion. Compared with the traditional MISC array, the proposed SA configurations, termed as improved MISC (IMISC) has significantly increased uniform degrees of freedom (uDOF) and reduced mutual coupling. In particular, the IMISC arrays are composed of six uniform linear arrays (ULAs), which can be determined by an IES set. The IES set is constrained by two parameters, namely the maximum IES and the number of sensors. The uDOF of the IMISC arrays is derived and the weight function of the IMISC arrays is analyzed as well. The proposed IMISC arrays have a great advantage in terms of uDOF against the existing SAs, while their mutual coupling remains at a low level. Simulations are carried out to demonstrate the advantages of the IMISC arrays.
Keywords:
Couplings
Sensor arrays
Mutual coupling
Covariance matrices
Signal to noise ratio
Floors
Fitting
Uniform degrees of freedom
sparse array (SA)
mutual coupling
maximum inter-element spacing constraint
direction-of-arrival (DOA) estimation
Journal
IF:
9.6
Papers:
1.1W
Citations:
1.7W
Organization
Cited Papers
Effect of low oxygen pressure on structural and magnetic properties of quenched SrFe12O19 thin films
PREAI
ShareSavePesticide impacts on soil life in southern Africa: Consequences for soil quality and food security
OAAI
OAAIShareSaveTHE UNIFYING ROLE OF THE COARRAY IN APERTURE SYNTHESIS FOR COHERENT AND INCOHERENT IMAGING.png)
PROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
PREAI
ShareSave
View more