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基于级联随机共振的窄带信号宽带化接收 被引量:4

Broadband receiver of narrowband signal based on the cascaded stochastic resonance
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摘要 为提高传统窄带接收机的解调增益,提出了基于级联随机共振的窄带信号宽带化接收方法。该方法一方面对接收信号进行随机共振运算,将信号中的噪声转化为信号能量;另一方面通过级联方式将接收信号转化为方波信号,并利用其先验信息构造本地序列进行宽带化相关运算,最终提高了信号处理增益。理论分析与仿真结果表明,该方法相比于传统的处理方式,其信噪比增益提高大于3 d B,并且对于接收信噪比为-7~1 d B的QPSK信号,其增益提高约为20 d B。 To improve the demodulation gain of traditional narrowband receiver, a narrowband signal receiving method of broadband based on cascaded stochastic resonance is proposed. On one hand, the noise in the signal is converted to the signal energy by the stochastic resonance operation on the received signal. On the other hand, by cascading stochastic resonance systems, the received signal is changed into square wave signal; and by constructing related sequences with prior information of received signal, the demodulation output has high gain. Theoretical analysis and simulation results show that compared with the traditional approach, this method improves detection performance in terms of SNR by more than 3 d B. And for receiving SNR of QPSK in-7~1 d B, the gain increased is about 20 d B.
出处 《通信学报》 EI CSCD 北大核心 2015年第7期138-143,共6页 Journal on Communications
基金 国家自然科学基金资助项目(60472064 61201380)~~
关键词 随机共振 宽带化接收 级联 窄带信号 本地序列 stochastic resonance broadband receiver cascaded narrowband signal local sequence
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  • 1CHEN W, WANG J, LI H, et al. Stochastic resonance noise enhanced spectrum sensing in cognitive radio networks[A]. Proceeding of 2010 IEEE Global Telecommunications Conference[C]. San Diego, USA, 2010.1-6.
  • 2CA, WANG J, REN X, ZI-IANG S, et al. Adaptive bistable stochastic reso- nance aided spectrum sensing[J]. IEEE Transactions on Wireless Communications, 2014, 13(7): 4014-4024.
  • 3LI Q, LI Z, SHEN J, et al. A novel spectrum sensing method in cogni- tive radio based on suprathreshold stochastic resonance[A]. Proceed- ing of 2012 IEEE International Conference on Communications (ICC)[C]. London, UK, 2012.4426.4430.
  • 4LI Q, LI Z. A novel sequential spectrum sensing method in cognitive radio using suprathreshold stochastic resonance [J]. IEEE Transactions on Vehicular Technology, 2014,63(4):1717-1725.
  • 5LIN 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
  • 6JIANG Y, ZHAO H. A new weak signal detection method based on stochastic resonance and array sensors [A]. Proceeding of 2013 Inter- national Conference on Communications, Circuits and Systems (ICCCAS) [C]. Chengdu, China,2013.287-289.
  • 7SHI S, YIN W, YANG M, et al. A high-resolution weak signal detec- tion method based on stochastic resonance and superhettechnology[A]. Proceeding of 2012 7th International ICST Conference on Communications and Networking in China (CHINACOM)[C]. Kunming, China, 2012. 329-333.
  • 8FU Z, XING J, ZHU R, et al. A new method of detecting line-spectrum based on auto-correlation with stochastic resonance the- ory [A]. Proceeding of 2013 25th Chinese Control and Decision Con- ference (CCDC) [C]. Guiyang, China, 2013.1104-1107.
  • 9ZOU H, ZHENG L, LILT C. Detecting parameters of high frequency signals with frequency modulation [A]. Proceeding of 2013 6th Inter- national Congress on Image and Signal Processing (CISP) [C]. Hang- zhou, China, 2013.1090-1095.
  • 10DENG H, ZHAO J, LENG Y. Research on the nonlinear square wave filter based on concatenation stochastic resonance[A]. Proceeding of 2011 International Conference on Intelligent Computation Technology and Automation (ICICTA)[C]. Wuhan, China,2011.

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