Advanced Search
Volume 37 Issue 12
Jan.  2016
Turn off MathJax
Article Contents
Hou Cheng-guo, Luo Bo-wen, Li Di. Cascaded Stochastic Resonance for Digitized Receiving of Linear Frequency Modulation Signal[J]. Journal of Electronics & Information Technology, 2015, 37(12): 2866-2871. doi: 10.11999/JEIT 141496
Citation: Hou Cheng-guo, Luo Bo-wen, Li Di. Cascaded Stochastic Resonance for Digitized Receiving of Linear Frequency Modulation Signal[J]. Journal of Electronics & Information Technology, 2015, 37(12): 2866-2871. doi: 10.11999/JEIT 141496

Cascaded Stochastic Resonance for Digitized Receiving of Linear Frequency Modulation Signal

doi: 10.11999/JEIT 141496
Funds:

The National Natural Science Foundation of China (60472064, 61201380)

  • Received Date: 2014-11-26
  • Rev Recd Date: 2015-08-25
  • Publish Date: 2015-12-19
  • In order to eliminate the narrowband limit of stochastic resonance system, and to complete the digitized receiving of linear frequency modulation signal with high gain, a method based on the frequency setting of received digital samples is proposed. In this method, the linear frequency modulation is directly sent to the digitized samples flitting, frequency setting process, and is converted to a single frequency signal, which fits in the subsequent cascaded stochastic resonance system. As a result, the noise energy in broadband signal is converted to signal energy. Theory and simulation results show that the algorithm can demodulate the linear frequency modulation signal, and its processing gain is higher than the existing algorithms by about 2 dB.
  • loading
  • 梁军利, 杨树元, 唐志峰. 基于随机共振的微弱信号检测[J],电子与信息学报, 2006, 28(6): 1068-1072
    Liang Jun-li, Yang Shu-yuan, and Tang Zhi-feng. Weak signal detection based on stochastic resonance[J]. Journal of Electronics Information Technology, 2006, 28(6): 1068-1072.
    Meng Yun-liang and Pei Chang-xing. Stochastic resonance in a bistable system driven by non-gaussian noise and Gaussian noise[C]. 2014 IEEE Workshop on Electronics, Computer and Applications, Ottawa, Canada, 2014: 358-361.
    朱文涛, 苏涛, 杨涛, 等. 线性调频连续波信号检测与参数估计算法[J]. 电子与信息学报, 2014, 36(3): 552-558.
    Zhu Wen-tao, Su Tao, Yang Tao, et al.. Detection and parameter estimation of linear frequency modulation continuous wave signal[J]. Journal of Electronics Information Technology, 2014, 36(3): 552-558.
    熊竹林, 刘策伦, 安建平. 一种低复杂度线性调频信号参数估计算法[J]. 电子与信息学报, 2015, 37(2): 489-493.
    Xiong Zhu-lin, Liu Ce-lun, and An Jian-ping. A low complexity parameter rstimation algorithm of LFM signals[J]. Journal of Electronics Information Technology, 2015, 37(2): 489-493.
    Qunwei Li and Zan Li. A novel sequential spectrum sensing method in cognitive radio using suprathreshold stochastic resonance[J]. IEEE Transactions on Vehicular Technology, 2014, 63(4): 1717-1725.
    Zou Hai-lin, Zheng Long-quan, and Liu Chan-juan. Detecting parameters of high frequency signals with frequency modulation[C]. 2013 6th International Congress on Image and Signal Processing (CISP), Hangzhou, China, 2013: 1090-1095.
    Dalabaev S, Muhammad A, Wu Xue-lian, et al.. The application of the system of parameter tuning stochastic resonance in baseband signal processing[C]. 2011 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), Harbin, China, 2011: 1387-1389.
    Fu Zhi-kai, Xing Jian-chun, Zhu Rui-de, et al.. A new method of detecting line-spectrum based on auto-correlation with stochastic resonance theory[C]. 2013 25th Chinese Control and Decision Conference (CCDC), Guiyang, China, 2013: 1104-1107.
    Jiang Yi and Zhao Hui. A new weak signal detection method based on stochastic resonance and array sensors[C]. 2013 International Conference on Communications, Circuits and Systems (ICCCAS), Chengdu, China, 2013: 287-289.
    Fan Bin and Hu Niao-qing. Method of weak signals detection based on array of stochastic resonance[C]. 2011 Prognostics and System Health Management Conference, Shenzhen, China, 2011: 1-5.
    Lin Ying-pei, He Chen, Jiang Ling-ge, et al.. Cooperative spectrum sensing based on stochastic resonance in cognitive radio[J]. Science China Information Sciences, 2014, 57(2) : 1-10.
    文川. 基于随机共振的LFM信号检测与参数估计[D]. [硕士论文], 西南交通大学, 2011: 1-74
    Wen Chuan. Detection and parameters estimation of LFM signal based on stochastic resonance[D]. [Master dissertation], Southwest Jiaotong University, 2011: 1-74.
    Chen Wei, Wang Jun, Li Hu-sheng, et al.. Stochastic resonance noise enhanced spectrum sensing in cognitive radio networks[C]. 2010 IEEE Global Telecommunications Conference, Florida, USA, 2010: 1-6.
    Wang Jun, Ren Xin, Zhang Shao-wen, et al.. Adaptive bistable stochastic resonance aided spectrum sensing[J]. IEEE Transactions on Wireless Communications, 2014, 13(7): 4014-4024.
    Shuo Shi, Yin Wanyi, Yang Ming-chuan, et al.. A high-resolution weak signal detection method based on stochastic resonance and superhet technology[C]. 2012 7th International ICST Conference on Communications and Networking in China (CHINACOM), Kunming, China, 2012: 329-333.
    Wei Shi-peng, Zhang Tian-qi, Gao Chun-xia, et al.. The united detection of weak MSK signal using Duffing oscillator and Stochastic resonance[C]. 2011 IEEE 4th International Symposium on Microwave, Antenna, Propagation, and EMC Technologies for Wireless Communications (MAPE) , Beijing, China, 2011: 447-453.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (887) PDF downloads(546) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return