In this paper,a systematic description of the artificial intelligence(AI)-based channel estimation track of the 2nd Wireless Communication AI Competition(WAIC)is provided,which is hosted by IMT-2020(5G)Promotion Group...In this paper,a systematic description of the artificial intelligence(AI)-based channel estimation track of the 2nd Wireless Communication AI Competition(WAIC)is provided,which is hosted by IMT-2020(5G)Promotion Group 5G+AIWork Group.Firstly,the system model of demodulation reference signal(DMRS)based channel estimation problem and its corresponding dataset are introduced.Then the potential approaches for enhancing the performance of AI based channel estimation are discussed from the viewpoints of data analysis,pre-processing,key components and backbone network structures.At last,the final competition results composed of different solutions are concluded.It is expected that the AI-based channel estimation track of the 2nd WAIC could provide insightful guidance for both the academia and industry.展开更多
LTE-A下行传输通信系统中采用了多达8天线端口的增强型MIMO技术,引入了新的参考信号DMRS,用于MIMO下行信道估计。分析LTE-A系统中基于DMRS的信道估计算法,提出了一种低复杂度的频域线性最小均方误差(LMMSE)插值算法。该算法基于DMRS对...LTE-A下行传输通信系统中采用了多达8天线端口的增强型MIMO技术,引入了新的参考信号DMRS,用于MIMO下行信道估计。分析LTE-A系统中基于DMRS的信道估计算法,提出了一种低复杂度的频域线性最小均方误差(LMMSE)插值算法。该算法基于DMRS对信道时延参数进行估计,并采用Look Up Table(LUT)方式,选择相应的频域插值矩阵,完成频域LMMSE插值过程。它解决了传统频域LMMSE算法中获取信道二阶统计信息的困难,也避免了对矩阵的实时求逆过程。仿真结果表明,此方法在降低了复杂度的同时保证了BER和MSE的性能,具有较大的实用性。展开更多
工信部对在用无线电台(站)监督检查工作最新要求的发布,增加了对在用无线电发射设备现场检测的力度和频次。本文对DMR/dPMR(Digital Mobile Radio,数字移动无线电/Digital Private Mobile Radio,数字专用移动无线电)数字对讲设备测试关...工信部对在用无线电台(站)监督检查工作最新要求的发布,增加了对在用无线电发射设备现场检测的力度和频次。本文对DMR/dPMR(Digital Mobile Radio,数字移动无线电/Digital Private Mobile Radio,数字专用移动无线电)数字对讲设备测试关键指标频率误差测量的不确定度进行建模分析,对其不确定度进行评定。展开更多
数字集群通信是在生产生活中扮演很重要角色的通信方式。本文介绍了一种基于MCU(MSP430FG4619)和DSP(TMS320VC5510)的DMR(Digital Mobile Radio)新型通信协议的数字对讲机终端基带模块的硬件设计,并对整个系统的运行和软件整体设计做简...数字集群通信是在生产生活中扮演很重要角色的通信方式。本文介绍了一种基于MCU(MSP430FG4619)和DSP(TMS320VC5510)的DMR(Digital Mobile Radio)新型通信协议的数字对讲机终端基带模块的硬件设计,并对整个系统的运行和软件整体设计做简要介绍。展开更多
文摘In this paper,a systematic description of the artificial intelligence(AI)-based channel estimation track of the 2nd Wireless Communication AI Competition(WAIC)is provided,which is hosted by IMT-2020(5G)Promotion Group 5G+AIWork Group.Firstly,the system model of demodulation reference signal(DMRS)based channel estimation problem and its corresponding dataset are introduced.Then the potential approaches for enhancing the performance of AI based channel estimation are discussed from the viewpoints of data analysis,pre-processing,key components and backbone network structures.At last,the final competition results composed of different solutions are concluded.It is expected that the AI-based channel estimation track of the 2nd WAIC could provide insightful guidance for both the academia and industry.
文摘LTE-A下行传输通信系统中采用了多达8天线端口的增强型MIMO技术,引入了新的参考信号DMRS,用于MIMO下行信道估计。分析LTE-A系统中基于DMRS的信道估计算法,提出了一种低复杂度的频域线性最小均方误差(LMMSE)插值算法。该算法基于DMRS对信道时延参数进行估计,并采用Look Up Table(LUT)方式,选择相应的频域插值矩阵,完成频域LMMSE插值过程。它解决了传统频域LMMSE算法中获取信道二阶统计信息的困难,也避免了对矩阵的实时求逆过程。仿真结果表明,此方法在降低了复杂度的同时保证了BER和MSE的性能,具有较大的实用性。
文摘工信部对在用无线电台(站)监督检查工作最新要求的发布,增加了对在用无线电发射设备现场检测的力度和频次。本文对DMR/dPMR(Digital Mobile Radio,数字移动无线电/Digital Private Mobile Radio,数字专用移动无线电)数字对讲设备测试关键指标频率误差测量的不确定度进行建模分析,对其不确定度进行评定。
