应用科学学报 ›› 2018, Vol. 36 ›› Issue (5): 774-786.doi: 10.3969/j.issn.0255-8297.2018.05.005

• 通信工程 • 上一篇    下一篇

三维场景非平稳MIMO信道构建及参数演进方法

江凯丽1, 陈小敏1, 朱秋明1,2, 胡续俊1, 陈兵1   

  1. 1. 南京航空航天大学 电子信息工程学院, 南京 211106;
    2. 英国赫瑞瓦特大学 工程与物理科学学院, 爱丁堡 EH144AS
  • 收稿日期:2017-06-05 修回日期:2018-02-13 出版日期:2018-09-30 发布日期:2018-09-30
  • 通信作者: 朱秋明,副教授,研究方向:无线信道勘测、建模和模拟,E-mail:zhuqiuming@nuaa.edu.cn E-mail:zhuqiuming@nuaa.edu.cn
  • 基金资助:
    国家重大科学仪器设备开发专项(No.2013YQ200607);国家自然科学基金(No.61631020);江苏省博士后基金(No.1601017C);中央高校基本科研业务费青年科技创新基金(No.NS2016044);江苏省物联网与控制技术重点实验室基金(No.NJ20160027)资助

Non-stationary MIMO Channel Modeling and Parameter Evolving Under 3D Scenarios

JIANG Kai-li1, CHEN Xiao-min1, ZHU Qiu-ming1,2, HU Xu-jun1, CHEN Bing1   

  1. 1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
    2. School of Engineering & Physical Sciences, Heriot-Watt University, Edinburgh EH144AS, UK
  • Received:2017-06-05 Revised:2018-02-13 Online:2018-09-30 Published:2018-09-30

摘要: 在移动通信系统中,收发端散射环境变化将导致无线信道呈现非平稳特性,针对基站-移动台之间的三维传播场景,构建了一种非平稳多输入多输出信道模型,该模型考虑了衰落相位的连续性,从而保证输出信道多普勒频率的准确性.提出了一种针对该模型的信道参数更新算法,该算法考虑了传播路径的生灭、时延、功率、出发角和到达角分布等参数随时间变化的演进过程.数值仿真结果表明,所构建的信道模型能够直观地复现无线信道的非平稳特性,输出的各子信道衰落的时变自相关和互相关特性均与理论值吻合,提出的非平稳信道模型的平稳间隔与实测数据相符,可用于三维移动场景下无线通信系统的方案设计、性能优化和系统验证等领域.

关键词: 相关函数, 多普勒频率, 生灭过程, 多输入多输出信道, 非平稳信道

Abstract: Due to the rapid movement of transmitter and receiver, the propagation channel of mobile communication system performs non-stationary characteristics. A new nonstationary multiple-input multiple-output (MIMO) channel model between base station and mobile station under three dimensional (3D) scenarios is proposed. The new model takes the continuity of fading phase into account and guarantees more realistic Doppler frequency. Meanwhile, an extended 3D time evolving algorithm of channel parameters, including birth-death processes of clusters, path delays, path powers and angles of arrival and departure, is given and analyzed. Simulation results demonstrate that our channel model can characterize the properties of non-stationarity and the time-variant autocorrelation function (ACF) and cross-correlation function (CCF) in a good consistence with theoretical ones, and is applicable to the performance evaluation and validation of wireless mobile system under time-variant 3D scenarios.

Key words: non-stationary channel, multiple-input multiple-output (MIMO) channel, birth-death process, correlation function, Doppler frequency

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