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Radiation Pattern Synthesis for Adaptive Antenna Arrays Using Improved Quantum Genetic Algorithm

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4 Author(s)
Ming Liu ; Inst. of Commun. Networks Integrated Tech., Beijing Univ. of Posts & Telecommun., Beijing ; Chao-wei Yuan ; Tian-Song Li ; Hong-Hai Wu

In this paper, compared with genetic algorithm (GA), an improved quantum genetic algorithm (QGA) was proposed, and it was used to calculate the complex excitations, amplitudes and phases of adaptive antenna arrays. The optimization goal is to maximize the output power of the desired signal and minimize the total output power of the interfering signals. Simulation results show that the improved QGA has better performance than existing GA.

Published in:

Antennas, Propagation & EM Theory, 2006. ISAPE '06. 7th International Symposium on

Date of Conference:

26-29 Oct. 2006