通信学报2017，Vol.38Issue(3)：73-82,10.DOI:10.11959/j.issn.1000-436x.2017054
快时变信道下非数据辅助误差矢量幅度的自适应调制算法
Nondata-aided error vector magnitude based adaptive modulation over rapidly time-varying channels
摘要
Abstract
A novel nondata-aided error vector magnitude based adaptive modulation(NDA-EVM-AM) was proposed to solve the problem of lower spectral efficiency over rapidly time-varying wireless channels.Namely,NDA-EVM was considered as a metric to reflect the rapid change of time-varying channels.The unified model to calculate different modulation order of NDA-EVM was analytically derived,with which the relationship between NDA-EVM and bit error rate (BER) for each modulation order was presented.Thereafter,the mechanism to adaptively select the modulation orders of multilevel quadrature amplitude modulation (MQAM) signals was designed to guarantee the predefmed BER.Taking the two rapidly time-varying channels proposed for high-speed railway scenarios as examples,numerical results are conducted to verify the effectiveness of the proposed algorithm.It shows that NDA-EVM estimation has the lest root mean square error than data-aided error vector magnitude (DA-EVM) estimation and signal to noise ratio estimation.The proposed algorithm has better accuracy in aspects of channel quality estimation and modulation orders adjustment,Compared with conventional data-aided error vector magnitude based-adaptive modulation (DA-EVM-AM),the accuracy improves by 7.9％,spectral efficiency improves by 0.53 bit·s-1·Hz-1,and compared with signal to noise ratio based-adaptive modulation (SNR-AM),the accuracy improves by 15.7％,spectral efficiency improves by 0.82 bit.s-1.Hz-1.关键词
快时变信道/自适应调制/非数据辅助/误差矢量幅度Key words
rapidly time-varying channels/adaptive modulation/non data-aided/error vector magnitude分类
信息技术与安全科学引用本文复制引用
杨凡,曾孝平,简鑫,周继华,阮定良,高乙文..快时变信道下非数据辅助误差矢量幅度的自适应调制算法[J].通信学报,2017,38(3):73-82,10.基金项目
国家自然科学基金资助项目(No.91438104,No.61501065,No.61571069,No.61601067) （No.91438104,No.61501065,No.61571069,No.61601067）
重庆市基础科学与前沿技术研究专项基金资助项目(No.CSTC2016JCYJA0021) （No.CSTC2016JCYJA0021）
中央高校基本科研业务费基金资助项目(No.106112015CDJXY16002,106112016CDJXY160001)The National Natural Science Foundation of China (No.91438104,No.61501065,No.61571069,No.61601067),The Chongqing Research Program of Basic Research and Fourier Technology (No.CSTC2016JCYJA0021),The Fundamental Research Funds of the Central Universities(No.106112015CDJXY16002,No.106112016CDJXY160001) （No.106112015CDJXY16002,106112016CDJXY160001）
