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弹箭与制导学报 >

2018 , Vol. 38 >Issue 4: 49 - 54

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2018.04.012

移动双弥散信道建模及 Matlab 仿真测试

  • 梁源 ,
  • 达新宇 ,
  • 徐瑞阳 ,
  • 倪磊 ,
  • 刘慧军 ,
  • 张喆
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  • 空军工程大学信息与导航学院,西安 710077

梁源(1989-),男,湖南常德人,博士研究生,研究方向:变换域通信、信号处理、智能算法。

收稿日期: 2017-05-13

  网络出版日期: 2025-05-30

基金资助

国家自然科学基金(61271250,61571460)

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Modeling for Mobile Double-dispersive Channel and Simulations Using Matlab

  • LIANG Yuan ,
  • DA Xinyu ,
  • XU Ruiyang ,
  • NI Lei ,
  • LIU Huijun ,
  • ZHANG Zhe
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  • Information and Navigation College, Air Force Engineering University, Xi'an 710077, China

Received date: 2017-05-13

  Online published: 2025-05-30

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摘要

为提升利用Matlab进行移动双弥散信道建模及仿真编程的技巧与效率,分析了移动双弥散信道的基本抽头时延线模型;并从等效复基带处理及离散卷积定理出发,给出了基于Matlab编程进行衰落信道仿真测试的基本思路;最后对于抽头系数定量分析、理论衰落特性验证及实际均衡过程进行仿真测试,论证了文中双弥散信道模型框架的正确性,为Matlab信道衰落建模与仿真测试提供了重要借鉴。

关键词： 双弥散信道建模; 复基带等效处理; 信道估计及均衡; Matlab 仿真; 误码率

本文引用格式

梁源 , 达新宇 , 徐瑞阳 , 倪磊 , 刘慧军 , 张喆 . 移动双弥散信道建模及 Matlab 仿真测试[J]. 弹箭与制导学报, 2018 , 38(4) : 49 -54 . DOI: 10.15892/j.cnki.djzdxb.2018.04.012

Abstract

To improve the programming skill and efficiency on the mobile double-dispersive channel's modeling and simulation through Matlab, first, the basic tapped delay line model is provided in mobile double-dispersive channel. Then, combining the theory of complex baseband equivalent processing and discrete convolution theorem, the basic ideas are proposed to simulate and test the property of the fading channel based on Matlab. Finally, simulations are taken from the following three aspects: the quantitative analysis of the tapped delay coefficients, the theoretical bit error rate performance of the fading channel and the channel equalization. Simulation results show that the proposed tapped delay line model and its corresponding theory are correct and can also provide an important reference for analysis and tests about further fading channel using Matlab.

Key words： double-dispersive channel modeling; complex baseband equivalent processing; channel estimation and equalization; simulation using Matlab; bit error rate

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