[1] HOU Zhouguo,LI Fang,YAO Yi.An improved indoor UHF RFID localization method based on deviation correction[C]//Proceedings of International Conference on Information Science and Control Engineering.Washington D.C.,USA:IEEE Press,2017:1401-1404. [2] ZHOU Junyi,SHI Jing.RFID localization algorithms and applications——a review[J].Journal of Intelligent Manufacturing,2009,20(6):695-707. [3] NI L M,LIU Yunhao,LAU Y C,et al.LANDMARC:indoor location sensing using active RFID[C]//Proceedings of International Conference on Pervasive Computing and Communications.Washington D.C.,USA:IEEE Computer Society,2004:701-710. [4] 葛柳飞,李克清,戴欢.基于自适应GRNN的无线室内定位算法[J].计算机工程,2016,42(6):81-85. [5] 刘侃,张伟,张伟东,等.一种基于深度神经网络的无线定位方法[J].计算机工程,2016,42(7):82-85. [6] PRINCE S,SUNIL A.TDOA based node localization in WSN using neural network[C]//Proceedings of International Conference on Communication Systems and Network Technologies.Washington D.C.,USA:IEEE Computer Society,2013:400-404. [7] HSIAO R S,KAO Chunhao,CHEN Tianxiang,et al.A passive RFID-based location system for personnel and asset monitoring[J].Technology and Health Care,2018,26:11-16. [8] ZHAO Yang,LIU Kaihua,MA Yongtao,et al.Similarity analysis-based indoor localization algorithm with backscatter information of passive UHF RFID tags[J].IEEE Sensors Journal,2017,17(1):185-193. [9] ASHISH P,RAI C S,REDDY B V R.Comparative analysis of Bayesian regularization and levenberg-marquardt training algorithm for localization in wireless sensor network[C]//Proceedings of International Conference on Advanced Communication Technology.Washington D.C.,USA:IEEE Press,2013:191-194. [10] MATALB中文论坛.MATLAB神经网络30个案例分析[M].北京:北京航空航天大学出版社,2010. [11] 孔国立,张璐璐.遗传算法的广义回归神经网络建模方法[J].计算机工程与设计,2017,38(2):488-493. [12] 陈璟,虞继敏.基于果蝇-广义回归神经网络优化的WSN节点定位算法[J].南京师范大学学报(自然科学版),2017,40(2):31-38. [13] 王尔申,李兴凯,张芝贤,等.基于广义回归神经网络的粒子滤波算法研究[J].沈阳航空航天大学学报,2014,31(6):54-58. [14] 刘春,马颖.遗传算法和神经网络结合的PSD非线性校正[J].电子测量与仪器学报,2015,29(8):1157-1163. [15] KU S J,WANG C L.A new side information free PTS scheme for PAPR reduction in OFDM system[C]//Proceedings of International Conference on Wireless and Mobile Computing,Networking and Communications.Washington D.C.,USA:IEEE Press,2012:108-112. [16] LU Guangyue,WU Ping,ARONSSON D.Peak-to-average power ratio reduction in OFDM using cyclically shifted phase sequences[J].IET Communications,2007,1(6):1146-1151. [17] ZHAO Linzhe,WEN Xianbin,LI Dan.Amorphous location algorithm based on BP artificial neural network[J].Distributed Sensor Networks,2015,660:178-183. [18] JEON H B,NO J S.A low system complexity SLM scheme using additive mapping sequences for PAPR reduction of OFDM signals[J].IEEE Transactions on Broadcasting,2011,57(4):866-875. [19] 潘文超.应用果蝇优化算法优化广义回归神经网络进行企业经营绩效评估[J].太原理工大学学报(社会科学版),2011,29(4):1-5. [20] CREMER M,DETTMAR U,HUDASCH C,et al.Localization of passive UHF RFID tags using the AoAct transmitter beamforming technique[J].IEEE Sensors Journal,2016,16(6):1762-1771. |