Title :
Radiation Pattern Synthesis for Adaptive Antenna Arrays Using Improved Quantum Genetic Algorithm
Author :
Liu, Ming ; Yuan, Chao-wei ; Li, Tian-Song ; Wu, Hong-Hai
Author_Institution :
Inst. of Commun. Networks Integrated Tech., Beijing Univ. of Posts & Telecommun., Beijing
Abstract :
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.
Keywords :
adaptive antenna arrays; antenna radiation patterns; genetic algorithms; adaptive antenna arrays; optimization; quantum genetic algorithm; radiation pattern synthesis; Adaptive arrays; Adaptive systems; Antenna arrays; Antenna radiation patterns; Genetic algorithms; Mobile antennas; Phased arrays; Power generation; Quantum computing; Sensor arrays;
Conference_Titel :
Antennas, Propagation & EM Theory, 2006. ISAPE '06. 7th International Symposium on
Conference_Location :
Guilin
Print_ISBN :
1-4244-0162-3
Electronic_ISBN :
1-4244-0163-1
DOI :
10.1109/ISAPE.2006.353387
