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线性调频信号的级联随机共振数字化接收

侯成郭 罗柏文 李地

侯成郭, 罗柏文, 李地. 线性调频信号的级联随机共振数字化接收[J]. 电子与信息学报, 2015, 37(12): 2866-2871. doi: 10.11999/JEIT 141496
引用本文: 侯成郭, 罗柏文, 李地. 线性调频信号的级联随机共振数字化接收[J]. 电子与信息学报, 2015, 37(12): 2866-2871. doi: 10.11999/JEIT 141496
Hou Cheng-guo, Luo Bo-wen, Li Di. Cascaded Stochastic Resonance for Digitized Receiving of Linear Frequency Modulation Signal[J]. Journal of Electronics and 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 and Information Technology, 2015, 37(12): 2866-2871. doi: 10.11999/JEIT 141496

线性调频信号的级联随机共振数字化接收

doi: 10.11999/JEIT 141496
基金项目: 

国家自然科学基金(60472064, 61201380)

Cascaded Stochastic Resonance for Digitized Receiving of Linear Frequency Modulation Signal

Funds: 

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

  • 摘要: 为消除随机共振系统的窄带限制,实现线性调频信号的高增益数字化接收,该文提出一种基于样点频率设定的数字化接收方法。该方法直接将线性调频信号通过数字化的样点筛选、频率设定过程,变换为适配于后续级联随机共振系统的单频信号。从而顺利完成宽带接收信号中噪声能量向信号能量的转化。理论和仿真实验表明该算法可实现线性调频的解调,其处理增益较现有算法提高约2 dB。
  • 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.
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出版历程
  • 收稿日期:  2014-11-26
  • 修回日期:  2015-08-25
  • 刊出日期:  2015-12-19

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