LTE-M(LTE-Machine to Machine)系统性能与电波传播和无线信道密切相关。分析LTE-M系统在隧道漏缆场景信道特性,介绍3GPP单径莱斯和多径信道模型;开发LTE-M系统链路仿真系统,对不同信道模型、信噪比、移动速度、莱斯K因子下的系统性能,...LTE-M(LTE-Machine to Machine)系统性能与电波传播和无线信道密切相关。分析LTE-M系统在隧道漏缆场景信道特性,介绍3GPP单径莱斯和多径信道模型;开发LTE-M系统链路仿真系统,对不同信道模型、信噪比、移动速度、莱斯K因子下的系统性能,包括吞吐量、丢包率和误比特率,进行仿真评估。根据仿真结果,给出LTE-M网络规划与优化建议,包括信噪比优化目标设定为15 dB左右,在列车高速移动时采用多普勒频偏校正技术,并应该尽可能使漏缆与接收天线之间存在视距路径(LoS)。展开更多
In this paper, bridge alignment control with considering dynamic train loads was experimentally and theoretically investigated.Analytical process of bridge dynamics and the self-adaptive Kalman filter bridge alignment...In this paper, bridge alignment control with considering dynamic train loads was experimentally and theoretically investigated.Analytical process of bridge dynamics and the self-adaptive Kalman filter bridge alignment control method with considering the dynamic train loads were briefly introduced. The static measurement, the dynamic test, the field alignment measurement as well as the finite element analysis(FEA) of the second longest rail transit cable-stayed bridge in the world were carried out.Based on the results, the train dynamic load effect on the bridge alignment was obtained quantitatively. Subsequently, alignment control of the rail transit bridge with considering this effect using a self-adaptive Kalman filter method was analyzed. The results show that:(a) the dynamic train loads have effects on alignment control of the bridge and therefore cannot be neglected;(b) the self-adaptive Kalman filter method is applicable and reliable for alignment control of bridges during construction. The analytical method and whole process contribute to develop a related specification and further engineering applications.展开更多
文摘LTE-M(LTE-Machine to Machine)系统性能与电波传播和无线信道密切相关。分析LTE-M系统在隧道漏缆场景信道特性,介绍3GPP单径莱斯和多径信道模型;开发LTE-M系统链路仿真系统,对不同信道模型、信噪比、移动速度、莱斯K因子下的系统性能,包括吞吐量、丢包率和误比特率,进行仿真评估。根据仿真结果,给出LTE-M网络规划与优化建议,包括信噪比优化目标设定为15 dB左右,在列车高速移动时采用多普勒频偏校正技术,并应该尽可能使漏缆与接收天线之间存在视距路径(LoS)。
基金supported by the State Key Laboratory Breeding Base of Mountain Bridge and Tunnel Engineering(Chongqing Jiaotong University)fund(Grant No.CQSLBF-Y16-16)the Engineering Research Center of Bridge Structure and Material in the Mountainous Area Fund(Grant No.QLGCZX-JJ2015-6)+4 种基金the National Natural Science Foundation of China(Grant No.51408087)the Construction Technology Project of Ministry of Transport(Grant No.2015318814190)the Key Project of Foundation and Frontier Research of Chongqing(Grant No.cstc2015jcyjBX0022)the Application Foundation Research Project of Ministry of transport(Grant No.2013319814180)the "Xiaoping Science and Technology Innovation Team" fund for Chinese college students
文摘In this paper, bridge alignment control with considering dynamic train loads was experimentally and theoretically investigated.Analytical process of bridge dynamics and the self-adaptive Kalman filter bridge alignment control method with considering the dynamic train loads were briefly introduced. The static measurement, the dynamic test, the field alignment measurement as well as the finite element analysis(FEA) of the second longest rail transit cable-stayed bridge in the world were carried out.Based on the results, the train dynamic load effect on the bridge alignment was obtained quantitatively. Subsequently, alignment control of the rail transit bridge with considering this effect using a self-adaptive Kalman filter method was analyzed. The results show that:(a) the dynamic train loads have effects on alignment control of the bridge and therefore cannot be neglected;(b) the self-adaptive Kalman filter method is applicable and reliable for alignment control of bridges during construction. The analytical method and whole process contribute to develop a related specification and further engineering applications.
