Design of Clustered Phased Arrays by Means of an Innovative Power Pattern Matching-Driven Method -- The Linear Array Case

TL;DR

This paper introduces a novel clustering-based method for designing sub-arrayed phased arrays that can generate arbitrary power patterns, improving pattern matching accuracy with a new power pattern decomposition approach.

Contribution

It presents an innovative power pattern matching-driven clustering method for phased array design, outperforming existing excitation matching techniques.

Findings

Effective in synthesizing arbitrary power patterns

Outperforms state-of-the-art clustering methods

Demonstrated through representative numerical results

Abstract

The design of sub-arrayed phased arrays (PAs) with sub-array-only amplitude and phase controls that afford arbitrary-shaped power patterns matching reference ones is addressed. Such a synthesis problem is formulated in the power pattern domain and an innovative complex-excitations clustering method, which is based on the decomposition of the reference power pattern in a number of elementary patterns equal to the array elements, is presented. A set of representative results is reported to illustrate the features of the proposed approach as well as to assess its effectiveness in comparison with benchmark results from the state-of-the-art (SoA) excitation matching-based clustering methods.