Application of feature selective validation to the design of microstrip antenna

The Feature Selective Validation (FSV) algorithm has been used to quantitatively compare and validate two sets of data which are gotten by experiments and simulation respectively in recent 10 years. Patch antenna are used extensively in wireless telecommunication systems. Empirical and semi-empirical techniques have found favor in both research and industrial communities owing to their limited reliance on detailed knowledge of the antenna design. However, those techniques are established on extensive studies and observations in various practical antenna designs. So there is the requirement to provide a reliable means of testing a microstrip antenna design model for a specified pattern to minimize errors in the practical design. In this paper, the FSV technique is extended to the comparison and validation of microstrip antenna model for practical design. First, data sets for typical patch antennas are generated by the empirical antenna model. Second, CAD model and EM simulation model are constructed based on data sets by modeling software. Third, simulation data of S-parameters of antenna are investigated by electromagnetic computation algorithms, such as Finite Integration Technique (FIT). Last, data generated from EM simulation model and typical empirical model are compared and validated by FSV, which showed the effectiveness of the microstrip design under investigating.