Singular value decomposition improves accuracy and reliability of T‐septum waveguide field‐matching analysis

A singular value decomposition (SVD) is used to solve the characteristic matrix equation of 2 different field‐matching analyses as applied to T‐septum waveguide structures. It is demonstrated that SVD avoids the need for complicated numerical zero‐detection algorithms, eliminates the major disadvantages of the classical field‐matching technique, and hence, improves the accuracy and reliability of the computed results. The values obtained are in close agreement with available theoretical data and measurements.