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Signal Detection Algorithm Design Based on Stochastic Resonance Technology Under Low Signal-to-Noise Ratio

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【作者】 江晓林刁鸣渠苏苏

【Author】 JIANG Xiaolin;DIAO Ming;QU Susu;Harbin Engineering University;Heilongjiang University of Science and Technology;

【通讯作者】 江晓林;

【机构】 Harbin Engineering UniversityHeilongjiang University of Science and Technology

【摘要】 In the current 4 th generation(4 G)communication network,the base station with the same frequency transmission makes a serious interference among adjacent cells,and information transmission is susceptible to interference such as channel multipath fading and occlusion effect.Detecting effectively spectrum signal under low signal-to-noise ratio(SNR.),directly affects the whole performance of the wireless communication network system.This paper designs an energy signal detection algorithm based on stochastic resonance technology which transforms noise’s signal energy into useful signal energy,and improves output SNR.The energy signal detection algorithm realizes the function of providing effective detection of signal under low SNR,and promotes the performance of the whole communication system.

【Abstract】 In the current 4 th generation(4 G)communication network,the base station with the same frequency transmission makes a serious interference among adjacent cells,and information transmission is susceptible to interference such as channel multipath fading and occlusion effect.Detecting effectively spectrum signal under low signal-to-noise ratio(SNR.),directly affects the whole performance of the wireless communication network system.This paper designs an energy signal detection algorithm based on stochastic resonance technology which transforms noise’s signal energy into useful signal energy,and improves output SNR.The energy signal detection algorithm realizes the function of providing effective detection of signal under low SNR,and promotes the performance of the whole communication system.

【基金】 the Natural Science Foundation of Heilongjiang Province(No.F2015019);the Postdoctoral Foundation of Heilongjiang Province(No.LBHZ16054);the Undergraduate Basic Scientific Research Service Fee Project of Heilongjiang Province(No.Hkdqg201806)
  • 【文献出处】 Journal of Shanghai Jiaotong University(Science) ,上海交通大学学报(英文版) , 编辑部邮箱 ,2019年03期
  • 【分类号】TN911.23
  • 【被引频次】1
  • 【下载频次】23
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