LOW MUTUAL COUPLING SPARSE ARRAY DESIGN USING ULA FITTING

In this paper, a general sparse array (SA) design principle, called uniform linear array (ULA) fitting, is proposed. It uses concatenation of sub-ULAs to design SAs with feasible difference coarrays (DCAs). Motivation for the ULA fitting is that the nested array and coprime array are in fact the examples of concatenations of two sub-ULAs which provide good properties. The polynomial model is utilized to investigate the case when an SA is composed of multiple sub-ULAs. An example of SA designed via ULA fitting is presented, and it attests that the ULA fitting enables to design SAs with closed-form expressions, low coupling leakage and long consecutive DCA.

Automated summary

This paper proposes a general sparse array design principle, called uniform linear array fitting, which designs sparse arrays with feasible difference coarrays by concatenating sub-ULAs. The polynomial model is utilized to study cases where the array is composed of multiple sub-ULAs, and an example is presented to demonstrate that the uniform linear array fitting enables the design of arrays with closed-form expressions, low coupling leakage, and long consecutive DCAs.