Pattern Synthesis via Complex-Coefficient Weight Vector Orthogonal Decomposition

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.