Title :
Evolutionary synthesis of low-sensitivity antenna matching networks using adjacency matrix representation
Author :
De Sá, Leonardo B. ; Vieira, Pedro F. ; Mesquita, Antonio
Author_Institution :
Fed. Univ. of Rio de Janeiro, Rio de Janeiro
Abstract :
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.
Keywords :
evolutionary computation; impedance matching; matrix algebra; monopole antennas; optimisation; adjacency matrix representation; chromosome coding scheme; evolutionary synthesis method; impedance matching networks; low-sensitivity antenna matching networks; monopole whip antenna; Biological cells; Circuit optimization; Circuit synthesis; Circuit topology; Impedance matching; Network synthesis; Network topology; Optical losses; Optical reflection; Optical transmitters;
Conference_Titel :
Evolutionary Computation, 2009. CEC '09. IEEE Congress on
Conference_Location :
Trondheim
Print_ISBN :
978-1-4244-2958-5
Electronic_ISBN :
978-1-4244-2959-2
DOI :
10.1109/CEC.2009.4983082
