Title of article :
Genetic algorithms based analyses of nonlinearly loaded antenna arrays including mutual coupling effects
Author/Authors :
Lee، Kun-Chou نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2003
Pages :
-775
From page :
776
To page :
0
Abstract :
Initially, the analysis of a single nonlinearly loaded antenna is transformed into a nonlinear microwave circuit with the circuit elements representing the antenna element and the lumped load. This equivalent circuit is then reformulated into an optimization problem which can be solved by genetic algorithms. The analyses can also be easily extended to finite and infinite nonlinearly loaded antenna arrays including mutual coupling effects. Numerical examples show that the results by genetic algorithms are consistent with those using harmonic balance techniques. With the use of genetic algorithms, our analyses do not require a suitable guess of an initial solution and there exists no gradient operations in the iteration procedures. Therefore, the analyses are suitable for problems of nonlinearly loaded antenna arrays with any types of lumped loads and the array mutual coupling effects are included.
Keywords :
air pollution , atmospheric change , Carbon dioxide , Bottom-up , Greenhouse gas , ozone , pheromone , predator-prey , Top-down
Journal title :
IEEE Transactions on Antennas and Propagation
Serial Year :
2003
Journal title :
IEEE Transactions on Antennas and Propagation
Record number :
79191
Link To Document :
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