期刊文献+

基于扩频通信系统接收同步技术的仿真设计 被引量:2

Simulation and Design of Synchronized Reception Technology based on Spread Spectrum System
下载PDF
导出
摘要 扩频系统接收机的好坏直接决定了整个通信系统的性能.在直接序列扩频通信系统的基础上,提出了一种位同步方法,结合科斯塔斯(Costas)环的载波同步方法和数字匹配滤波器的扩频码同步方法,建立了直接序列扩频通信系统模型.最后,采用MATLAB R2006b/SIMULINK工具,对该系统进行整体仿真.本系统经过仿真,验证其正确性,为以扩频通信为基础的现代通信的研究和设计提供参考. The quality of spread spectrum receiver directly determines the performance of the whole communi- cation system. Based on the communication system of DSSS ( Direct Sequence Spread Spectrum), this paper propo- ses a bit-synchronization method and builds a communication system model of DSSS, combining the carrier-synchro- nization method of Costas loop and the spread spectrum code-synchronization method of DMF (Digital Matched Fil- ter). At last, simulation of spread spectrum system is implemented with MATLAB R2006b. The simulation result shows that this communication system is precise and has some reference significance for the simulation and design of modern communication system based on spread spectrum communication.
作者 黄凌霄
出处 《洛阳师范学院学报》 2014年第8期27-29,44,共4页 Journal of Luoyang Normal University
基金 福州大学阳光学院院级项目(2011B004)
关键词 扩频通信 同步 仿真 spread spectrum communication synchronization simulation
  • 相关文献

参考文献4

二级参考文献16

  • 1吴淼,惠晓威,李超群.基于软件无线电的扩频通信系统同步性的研究[J].科技创新导报,2007,4(35). 被引量:2
  • 2范伟,翟传润,战兴群.基于MATLAB的扩频通信系统仿真研究[J].微计算机信息,2006,22(07S):242-244. 被引量:34
  • 3李建新,刘乃安,刘继平.现代通信系统分析与仿真-MATALAB通信工具箱[M].西安:西安电子科技大学出版社,2001..
  • 4J Schafer,J Konstan,J Riedl.Recommender systems in e-commerce[C].In:Proc of ACM E-Commerce.New York:ACM Press,1999.158-166
  • 5Champa Jayawardana,K Priyantha Hewagamage Masashito HIrakawa.A personalize information environment for digital libraries[J].Information Technology and Libraries,2001,20(4):185-196
  • 6J Konstan,B Miller,D Maltz,et al.GroupLens:Applying collaborative filtering to Usenet news[J].Communications of the ACM,1997,40(3):77-87
  • 7高凤荣.个性化推荐系统关键技术研究:[博士论文][D].北京:中国人民大学,2003
  • 8Greg Linden,Brent Smith,Jeremy York.Amazon.com recommendations:Item-to-Item collaborative filtering[J].IEEE Internet Computing,2003,7(1):76-80
  • 9G Adomavicius,A Tuzhilin.Toward the next generation of recommender systems:A survey of the state-of-the-art and possible extensions[J].IEEE Trans on Knowledge and Data Engineering,2005,17(6):734-749
  • 10Chun Zeng,Chun-Xiao Xing,Li-Zhu Zhou,et al.Similarity measure and instance selection for collaborative filtering international[J].Journal of Electronic Commerce,2004,4(8):115-129

共引文献182

同被引文献11

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部