Evolutionary synthesis of low-sensitivity antenna matching networks using adjacency matrix representation
- Resource Type
- Conference
- Authors
- de Sa, Leonardo B.; Vieira, Pedro F.; Mesquita, Antonio
- Source
- 2009 IEEE Congress on Evolutionary Computation Evolutionary Computation, 2009. CEC '09. IEEE Congress on. :1201-1208 May, 2009
- Subject
- Computing and Processing
Network synthesis
Network topology
Biological cells
Impedance matching
Circuit synthesis
Circuit optimization
Circuit topology
Optical reflection
Optical transmitters
Optical losses
- Language
- ISSN
- 1089-778X
1941-0026
An evolutionary synthesis method to generate impedance matching networks with low sensitivity is presented. The method uses a chromosome coding scheme based on the adjacency matrix to represent the impedance networks. It is shown that the performance of the evolutionary algorithm in this particular synthesis may be considerably improved by including an optimization step to tune the component values of the impedance network. The efficiency of the proposed algorithm is tested in the synthesis of an impedance network for a monopole whip antenna and the results are compared with other examples found in the literature.