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

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,...

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Bibliographic Details
Published in:IEEE transactions on microwave theory and techniques Vol. 66; no. 2; pp. 813 - 821
Main Authors: Bo Liu, Hao Yang, Lancaster, Michael J.
Format: Journal Article
Language:English
Published: New York IEEE 01.02.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Adaptive algorithms
Adaptive control
Adaptive search techniques
Algorithm design and analysis
Algorithms
Cost function
Coupling
Coupling matrix
coupling matrix synthesis
Couplings
differential evolution (DE)
diplexer
Diplexers
Evolutionary algorithms
Global optimization
Mathematical analysis
Narrowband
Optimization methods
Searching
Sociology
Statistics
Synthesis
ISSN:0018-9480, 1557-9670
Online Access:Get full text
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Summary: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.
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ISSN:0018-9480
1557-9670
DOI:10.1109/TMTT.2017.2772855