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Novel Sparse Array Design Based on the Maximum Inter-Element Spacing Criterion

Wanlu Shi, Yingsong Li, Rodrigo C. de Lamare

2022IEEE Signal Processing Letters48 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Constraint (computer-aided design)Coupling (piping)Set (abstract data type)Element (criminal law)Degrees of freedom (physics and chemistry)AlgorithmComputer scienceTopology (electrical circuits)Function (biology)MathematicsMathematical optimizationPhysicsCombinatoricsEngineeringGeometryEvolutionary biologyPolitical scienceLawMechanical engineeringBiologyProgramming languageQuantum mechanicsDirection-of-Arrival Estimation TechniquesAntenna Design and OptimizationSpeech and Audio Processing
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