快速时变场景下非平稳衰落信道建模仿真

华博宇; 朱秋明; 何小祥; 毛开

doi:10.11959/j.issn.1000-0801.2020062

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快速时变场景下非平稳衰落信道建模仿真

研究与开发 | 更新时间：2024-06-05

- 快速时变场景下非平稳衰落信道建模仿真
- Modeling and simulation of the non-stationary fading channels under fast time-variant environment
- 电信科学 2020年36卷第5期页码：56-64
- 作者机构：
- 作者简介：
  
  [ "华博宇（1992- ），男，南京航空航天大学电子信息工程学院助理实验师，主要研究方向为无线信道建模" ]
  [ "朱秋明（1979- ），男，博士，南京航空航天大学电子信息工程学院副教授，主要研究方向为信道测量与模拟、无人机通信" ]
  [ "何小祥（1976- ），男，博士，南京航空航天大学电子信息工程学院副教授，主要研究方向为电磁环境仿真" ]
  [ "毛开（1994- ），男，南京航空航天大学电子信息工程学院博士生，主要研究方向为信道仿真器实现" ]
- 基金信息：
  
  国家重大科研仪器研制项目;The National Key Scientific Instrument and Equipment Development Project(61827801);国家重大科学仪器设备开发专项;The National Science Instrument Program(2013YQ200607)
- DOI：10.11959/j.issn.1000-0801.2020062
  中图分类号： TN011
- 网络出版日期：2020-05，
  
  纸质出版日期：2020-05-20
- 稿件说明：
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华博宇, 朱秋明, 何小祥, 等. 快速时变场景下非平稳衰落信道建模仿真[J]. 电信科学, 2020,36(5):56-64.

Boyu HUA, Qiuming ZHU, Xiaoxiang HE, et al. Modeling and simulation of the non-stationary fading channels under fast time-variant environment[J]. Telecommunications science, 2020, 36(5): 56-64.
华博宇, 朱秋明, 何小祥, 等. 快速时变场景下非平稳衰落信道建模仿真[J]. 电信科学, 2020,36(5):56-64. DOI： 10.11959/j.issn.1000-0801.2020062.

Boyu HUA, Qiuming ZHU, Xiaoxiang HE, et al. Modeling and simulation of the non-stationary fading channels under fast time-variant environment[J]. Telecommunications science, 2020, 36(5): 56-64. DOI： 10.11959/j.issn.1000-0801.2020062.

摘要

针对高速列车、无人机、车联网等快速时变通信场景下信道呈现非平稳性的问题，提出一种改进的信道建模仿真方法。通过引入积分项和随机偏移，该方法良好再现时变散射环境下的非平稳信道，同时保证各散射支路的独立性。数值仿真结果表明，改进方法模拟的信道统计特性（如概率密度函数、自相关函数和多普勒功率谱密度）与理论值吻合良好。因此，该方法在未来高速移动场景的无线信道建模仿真和通信系统性能评估中具有潜在价值。

Abstract

For solving the problem of non-stationary features in rapid time-varying scenarios

such as high-speed railway

unmanned aerial vehicle and V2X communication

an improved simulation method for non-stationary fading channels was proposed.Introducing the integral items and random offset

this method can revive non-stationary channels under time-variant scattering scenarios and ensure a smooth transition between two adjacent channel states.Numerical simulations show that simulated statistical properties

such as

the probability density function

auto-correlation function

and Doppler power spectral density have good agreements with the theoretical ones.Thus

this method can be applied for wireless channel modeling and communication system evaluation of future high-speed mobile scenarios.

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Keywords

references

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