A Novel Moving Sparse Array Geometry With Increased Degrees Of Freedom
Shuang Li, Xiao-Ping Zhang
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In this paper, we propose a novel moving sparse array geometry named dilated arrays (DAs) by extending the dilation of nested arrays to other linear array structures. The theoretical analysis of dilation to other arrays is not straightforward since the results for dilated nested arrays have been proven based on closed-form expression of their array geometry. However, other types of arrays have different, or even no closed-form expressions for their array geometries for a given number of sensors. We prove that for a DA on a moving platform, the degrees of freedom can be enhanced as three times high as that of its original array regardless of its array geometry. Numerical simulations are given to demonstrate the superior performance of different types of DAs.