Journal of Shanghai Jiao Tong University (Science) ›› 2019, Vol. 24 ›› Issue (3): 328-334.doi: 10.1007/s12204-019-2071-9

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

JIANG Xiaolin* (江晓林), DIAO Ming (刁鸣), QU Susu (渠苏苏)   

  1. (1. Harbin Engineering University, Harbin 150001, China; 2. Heilongjiang University of Science and Technology, Harbin 150027, China)
  • 出版日期:2019-06-01 发布日期:2019-05-29
  • 通讯作者: JIANG Xiaolin* (江晓林) E-mail: jlynner@163.com

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

JIANG Xiaolin* (江晓林), DIAO Ming (刁鸣), QU Susu (渠苏苏)   

  1. (1. Harbin Engineering University, Harbin 150001, China; 2. Heilongjiang University of Science and Technology, Harbin 150027, China)
  • Online:2019-06-01 Published:2019-05-29
  • Contact: JIANG Xiaolin* (江晓林) E-mail: jlynner@163.com

摘要: In the current 4th generation (4G) 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.

关键词: 4G communication network, stochastic resonance, signal detection algorithm

Abstract: In the current 4th generation (4G) 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.

Key words: 4G communication network, stochastic resonance, signal detection algorithm

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