@inproceedings{192c058fef8b472ba02a984d4f149bec,
title = "The research of adaptive beam forming algorithm based on QPSO and antenna array",
abstract = "An adaptive beam forming algorithm with antenna array model based on quantum-behaved particle swarm optimization (QPSO) is proposed for improving existent problems of limited beam modulation, unsatisfactory side lobe suppression and poor adaptability. By adjusting beam direction with matrix-weighting, optimizing initial phase and radius of the antenna array, and by tracking user intelligently with amplify and forward (AF) technology accordingly, better suppressing interference and economizing energy can be realized to effectively increase the received power and make use of antenna array for improving practical application. The simulation results of MATLAB show that the gain rising about 10dB and interference declining about 3.75dB at the direction of main lobe can be achieved.",
keywords = "antenna array, main lobe gain, quantum-behaved particle swarm, received beam",
author = "Zhao Ping and Yonghuan Ma and Liu Jie and Hongfei Yao and Wenzhe Shi and Wenhao Wang and Zhang Keyi and Li Bo",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 6th IEEE International Conference on Software Engineering and Service Science, ICSESS 2015 ; Conference date: 23-09-2015 Through 25-09-2015",
year = "2015",
month = nov,
day = "25",
doi = "10.1109/ICSESS.2015.7339080",
language = "英语",
series = "Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS",
publisher = "IEEE Computer Society",
pages = "384--387",
editor = "Babu, {M. Surendra Prasad} and Li Wenzheng",
booktitle = "ICSESS 2015 - Proceedings of 2015 IEEE 6th International Conference on Software Engineering and Service Science",
}