Pattern Synthesis via Complex-Coefficient Weight Vector Orthogonal Decomposition

TL;DR

This paper introduces the $\textrm{C}^2\textrm{-WORD}$ algorithm, a novel array response control method that extends the WORD approach by incorporating complex coefficients, enabling precise pattern synthesis with minimal variation.

Contribution

It proposes a new complex-coefficient extension to the WORD algorithm, providing a closed-form solution for array response control and improved pattern synthesis capabilities.

Findings

Performs at least as well as state-of-the-art methods like $\textrm{A}^\textrm{2}\textrm{RC}$ and WORD.

Offers a closed-form expression for precise array response control.

Demonstrates flexibility and effectiveness through numerical examples.

Abstract

This paper presents a new array response control scheme named complex-coefficient weight vector orthogonal decomposition ($ \textrm{C}^2\textrm{-WORD} $) and its application to pattern synthesis. The proposed $ \textrm{C}^2\textrm{-WORD} $ algorithm is a modified version of the existing WORD approach. We extend WORD by allowing a complex-valued combining coefficient in $ \textrm{C}^2\textrm{-WORD} $, and find the optimal combining coefficient by maximizing white noise gain (WNG). Our algorithm offers a closed-from expression to precisely control the array response level of a given point starting from an arbitrarily-specified weight vector. In addition, it results less pattern variations on the uncontrolled angles. Elaborate analysis shows that the proposed $ \textrm{C}^2\textrm{-WORD} $ scheme performs at least as good as the state-of-the-art $\textrm{A}^\textrm{2}\textrm{RC} $ or WORD approach. By applying $ \textrm{C}^2\textrm{-WORD} $ successively, we present a flexible and effective approach to pattern synthesis. Numerical examples are provided to demonstrate the flexibility and effectiveness of $ \textrm{C}^2\textrm{-WORD} $ in array response control as well as pattern synthesis.