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同频同调制信号的瑞利信道系统仿真设计

Simulation design of Rayleigh channel system for signals with same carrier frequency and modulation
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摘要 为了解决通信系统仿真模型的不完备性,利用Matlab的组件Simulink搭建了一套模拟信号的传输、接收、分离的接收机通信仿真模型。该模型以同频同调制信号为信源,选取多径瑞利衰落信道模拟仿真实际接收机的工作流程,并且包括信源模块、调制解调模块、信道模块、模拟接收模块、采样滤波模块、信号分离模块等。此外,系统测试了瑞利信道的路径增益对信号盲分离的影响,仿真结果表明信道增益越大,信号越集中,分离效果也相对较好。因此,该仿真系统可以与硬件系统原型相结合,为测试信号提供功能验证,为实际接收机系统运行环境提供参考建议。 To eliminate the incompleteness of the communication simulation model,the Simulink of Matlab software is used to establish a receiver communication simulation model for signal transmission,receiving and separation. Taking the signals with same carrier frequency and modulation as the signal source of the model,the multipath Rayleigh fading channel is selected to simulate the actual working process of the receiver. The model includes signal source module,modem module,channel module,simulation receiving module,sampling filtering module and signal separation module. The influence of Rayleigh channel′ s path gain on signal blind separation was tested in the system. The simulation results show that the separation effect is relatively better with the increase of the channel gain and concentration of the signal. Therefore,the combination of the simulation system and hardware system prototype can provide the functional verification for testing signals and a reference for the operating environment of the actual receiver system.
出处 《现代电子技术》 北大核心 2018年第5期10-13,19,共5页 Modern Electronics Technique
基金 国家自然科学基金资助项目(61203117)~~
关键词 SIMULINK 瑞利信道 仿真模型 盲分离 系统仿真 模拟信号 Simulink Rayleigh channel simulation model blind separation system simulation analog signal
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  • 1张嵩,王晓东,芮国胜,卜智勇.基于Simulink~的复合衰落信道仿真与分析[J].海军航空工程学院学报,2007,22(3):340-344. 被引量:2
  • 2温学东.卷积码编码及其Viterbi译码算法的FPGA实现[J].信息与电子工程,2005,3(3):176-178. 被引量:8
  • 3付卫红,杨小牛,刘乃安,曾兴雯.基于概率密度估计盲分离的通信信号盲侦察技术[J].华中科技大学学报(自然科学版),2006,34(10):24-27. 被引量:14
  • 4席在芳,邬书跃,唐志军,曾照福.基于SIMULINK的现代通信系统仿真分析[J].系统仿真学报,2006,18(10):2966-2968. 被引量:22
  • 5JUTTEN C, HERAULT J. Blind separation of sources, part Ⅰ: an adaptive algorithm based on neuromimetic architecture [J]. signal Processing, 1991, 24(1), 1- 10.
  • 6COMMON P, JUTTEN C, HERAULT J. Blind separation of sources, partⅡ: problems statement [J]. Signal Processing, 1991, 24(1): 11-20.
  • 7SOROUCHYARI E. Blind separation of sources, part Ⅲ. stability analysis [J]. Signal Processing, 1991, 24(1) :21 - 29.
  • 8HVVARINEN A. Fast and robust fixed-point algorithms for independent component analysis[J]. IEEE Transactions on Neural Networks, 1999,10(3) :626 - 634.
  • 9THAIUPATHUMP T. New algorithms for blind equalization and blind source separation/phase reeovery[D]. Pennsylvania: University of Pennsylvania, 2002.
  • 10CARDOSO J F. Equivariant adaptive source separation [J]. IEEE Transactions on Signal Processing, 1996, 44(12) :3017 - 3029.

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