期刊文献+

直接序列扩频的分层级联随机共振接收算法 被引量:17

Layered and cascaded stochastic resonance algorithm for direct sequence spread spectrum signal receiving
下载PDF
导出
摘要 为提高现有直接序列扩频通信的接收信号的解调增益,提出分层级联随机共振接收算法。通过在接收信号的载波下变频和基带信号解扩过程中分别设计级联双稳态随机共振系统,一方面实现了正弦载波信号的宽带化解调接收,另一方面实现了信道噪声的能量向信号能量的逐步转化。理论分析和仿真实验结果表明,所提算法可以通过改变采样频率扩大接收机的频谱适用范围,同时通过增加两层级联随机共振系统的级联数量提高接收机性能。 To improve the demodulation performance of received direct sequence spread spectrum signal, a layered and cascaded stochastic resonance algorithm was presented. Two cascaded bistable stochastic resonance systems were designed respectively in the down-conversion process for carrier removing and the dispreading of baseband signal. By both of the systems, the broadband receiving of narrowband signal and the transformation from the energy channel noise to the signal energy were implemented. The theoretical analysis and simulation results show that the proposed algorithm can enlarge the application scope of frequency spectrum of the receiver, and improve the performance of receiver by increasing the number of the cascades of two-layer cascaded stochastic resonance system.
出处 《计算机应用》 CSCD 北大核心 2015年第4期934-937,959,共5页 journal of Computer Applications
基金 国家自然科学基金资助项目(60472064 61201380) 忻州师范学院教改项目(JG201206 JG201311)
关键词 无线通信 随机共振 级联 直接序列扩频 wireless communication stochastic resonance cascade direct sequence spread spectrum
  • 相关文献

参考文献12

  • 1DENG H, ZHAO J, LENG Y. Research on the nonlinear square wave filter based on concatenation stochastic resonance[ C]// Pro- ceedings of the 2010 International Conference on Measuring Technol- ogy and Mechatronics Automation. Piscataway: IEEE Press, 2011, 3:717 -719.
  • 2MENG Y, PEI C. Stochastic resonance in a bistable system driven by non-Gaussian noise and Gaussian noise [ C] // Proceedings of the 2014 IEEE Workshop on Electrenics, Computer and Applications. Piscataway: IEEE Press, 2014, 1:358 -361.
  • 3FU Z, XING J, ZHU lq., et al. A new method of detecting line- spectrum based on auto-correlation with stochastic resonance theory [ C] // Proceedings of the 2013 25th Chinese Control and Decision Conferenee. Piscataway: IEEE Press, 2013, 1: 1104-1107.
  • 4ZOU H, ZHENG L, LIU C. Detecting parameters of high frequency signals with frequency modulation [ C]// Proceedings of the 2013 6th International Congress on Image and Signal Processing. Piscat- away: IEEE Press, 2013,2:1090 - 1095.
  • 5CHEN W, WANG J, LI H, et al. Stochastic resonance noise en- hanced spectrum sensing in cognitive radio networks [ C] // Proceed- ings of the 2010 IEEE Global Telecommunications Conference. Pis- cataway: IEEE Press, 2010:1-6.
  • 6LI Q, LI Z, SHEN J, et al. A novel spectrum sensing method in cognitive radio based on suprathreshold stochastic resonance [ C]/! Proceedings of the 2012 IEEE International Conference on Communi- cations. Piseataway: IEEE Press, 2012:4426-4430.
  • 7LI Q, LI Z. A novel sequential spectrum sensing method in cogni- tive radio using suprathreshold stochastic resonance [ J]. IEEE Transactions on Vehicular Technology, 2014, 63(4): 1717 -1725.
  • 8WANG J, REN X, ZHANG S, et al. Adaptive bistable stochastic resonance aided spectrum sensing[ J]. IEEE Transactions on Wire- less Communications, 2014, 13(7) :4014 -4024.
  • 9LIN YingPei,HE Chen,JIANG LingGe,HE Di.Cooperative spectrum sensing based on stochastic resonance in cognitive radio networks[J].Science China(Information Sciences),2014,57(2):54-63. 被引量:8
  • 10JIANG Y, ZHAO H. A new weak signal detection method based on stochastic resonance and array sensors [ C]// Proceedings of the 2013 International Conference on Communications, Circuits and Systems. Piscataway: IEEE Press, 2013:287-289.

二级参考文献1

共引文献7

同被引文献106

引证文献17

二级引证文献71

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