基于QPSO和天线阵列的自适应波束形成算法研究

2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2015-11-30 DOI:10.1109/ICSESS.2015.7339080

Zhao Ping, Mao Yonghuan, Liu Jie, Yao Hongfei, Shi Wen-zhe, W. Wenhao, Zhang Keyi, Li Bo

{"title":"基于QPSO和天线阵列的自适应波束形成算法研究","authors":"Zhao Ping, Mao Yonghuan, Liu Jie, Yao Hongfei, Shi Wen-zhe, W. Wenhao, Zhang Keyi, Li Bo","doi":"10.1109/ICSESS.2015.7339080","DOIUrl":null,"url":null,"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.","PeriodicalId":335871,"journal":{"name":"2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"The research of adaptive beam forming algorithm based on QPSO and antenna array\",\"authors\":\"Zhao Ping, Mao Yonghuan, Liu Jie, Yao Hongfei, Shi Wen-zhe, W. Wenhao, Zhang Keyi, Li Bo\",\"doi\":\"10.1109/ICSESS.2015.7339080\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":335871,\"journal\":{\"name\":\"2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSESS.2015.7339080\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS.2015.7339080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

针对天线阵模型中存在的波束调制受限、旁瓣抑制不理想和自适应能力差的问题，提出了一种基于量子粒子群优化(QPSO)的自适应波束形成算法。通过矩阵加权调整波束方向，优化天线阵的初始相位和半径，并相应地采用放大前向(AF)技术对用户进行智能跟踪，可以更好地抑制干扰，节约能源，有效地提高接收功率，利用天线阵提高实际应用。MATLAB仿真结果表明，在主瓣方向上可以实现增益上升约10dB，干扰下降约3.75dB。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

The research of adaptive beam forming algorithm based on QPSO and antenna array

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS)

自引率

0.00%

发文量