Synthesis of Coupling Matrix for Diplexers Based on a Self-adaptive Differential Evolution Algorithm

Liu, Bo, Yang, Hao and Lancaster, Michael (2018) Synthesis of Coupling Matrix for Diplexers Based on a Self-adaptive Differential Evolution Algorithm. IEEE Transactions on Microwave Theory and Techniques, 66 (2). pp. 813-821. ISSN 0018-9480

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Diplexer coupling matrix synthesis often involves both analytical methods and optimization techniques. At present, general purpose optimization algorithms are used, but they need strong supporting information (e.g., high-quality starting points and very narrow search ranges) from analytical methods, which is not available or too complex to be obtained in many cases. Aiming to obtain the desired coupling matrix with highly reduced supporting information to relieve the pressure of analytical methods, a new optimization algorithm, called self-adaptive differential evolution for coupling matrix synthesis (SADEC), is proposed. Considering the landscape characteristics of diplexer coupling matrix synthesis problems, a new self-adaptive multipopulation search framework and a self-adaptive algorithm parameter control strategy are proposed and organized in a particular way. The performance of SADEC is demonstrated by two all-resonator-based narrowband diplexers using large search ranges only with the requirement of matching the diplexer topology and no ad hoc analysis is included. Experiments and comparisons show the high performance of SADEC and clear advantages compared with the state-of-the-art global optimization methods. SADEC is also applicable to filter coupling matrix synthesis and is downloadable.

Item Type: Article
Divisions: Applied Science, Computing and Engineering
Depositing User: Hayley Dennis
Date Deposited: 13 Jun 2018 09:09
Last Modified: 13 Jun 2018 09:09

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