中国物理B ›› 2016, Vol. 25 ›› Issue (10): 100501-100501.doi: 10.1088/1674-1056/25/10/100501

• GENERAL • 上一篇    下一篇

Parameter allocation of parallel array bistable stochastic resonance and its application in communication systems

Jian Liu(刘健), You-Guo Wang(王友国), Qi-Qing Zhai(翟其清), Jin Liu(刘进)   

  1. 1 College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
    2 College of Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;
    3 Jiangsu Innovative Coordination Center of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
    4 20th Research Institute of China Electronics Technology Corporation, Xi'an 710068, China
  • 收稿日期:2016-01-29 修回日期:2016-05-29 出版日期:2016-10-05 发布日期:2016-10-05
  • 通讯作者: You-Guo Wang E-mail:wyg@njupt.edu.cn
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant No. 61179027), the Qinglan Project of Jiangsu Province of China (Grant No. QL06212006), and the University Postgraduate Research and Innovation Project in Jiangsu Province (Grant Nos. KYLX15_0829, KYLX15_0831).

Parameter allocation of parallel array bistable stochastic resonance and its application in communication systems

Jian Liu(刘健)1, You-Guo Wang(王友国)2,3, Qi-Qing Zhai(翟其清)1, Jin Liu(刘进)4   

  1. 1 College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
    2 College of Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;
    3 Jiangsu Innovative Coordination Center of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
    4 20th Research Institute of China Electronics Technology Corporation, Xi'an 710068, China
  • Received:2016-01-29 Revised:2016-05-29 Online:2016-10-05 Published:2016-10-05
  • Contact: You-Guo Wang E-mail:wyg@njupt.edu.cn
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant No. 61179027), the Qinglan Project of Jiangsu Province of China (Grant No. QL06212006), and the University Postgraduate Research and Innovation Project in Jiangsu Province (Grant Nos. KYLX15_0829, KYLX15_0831).

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摘要： In this paper, we propose a parameter allocation scheme in a parallel array bistable stochastic resonance-based communication system (P-BSR-CS) to improve the performance of weak binary pulse amplitude modulated (BPAM) signal transmissions. The optimal parameter allocation policy of the P-BSR-CS is provided to minimize the bit error rate (BER) and maximize the channel capacity (CC) under the adiabatic approximation condition. On this basis, we further derive the best parameter selection theorem in realistic communication scenarios via variable transformation. Specifically, the P-BSR structure design not only brings the robustness of parameter selection optimization, where the optimal parameter pair is not fixed but variable in quite a wide range, but also produces outstanding system performance. Theoretical analysis and simulation results indicate that in the P-BSR-CS the proposed parameter allocation scheme yields considerable performance improvement, particularly in very low signal-to-noise ratio (SNR) environments.

关键词: stochastic resonance, parameter allocation, bit error rate, channel capacity

Abstract: In this paper, we propose a parameter allocation scheme in a parallel array bistable stochastic resonance-based communication system (P-BSR-CS) to improve the performance of weak binary pulse amplitude modulated (BPAM) signal transmissions. The optimal parameter allocation policy of the P-BSR-CS is provided to minimize the bit error rate (BER) and maximize the channel capacity (CC) under the adiabatic approximation condition. On this basis, we further derive the best parameter selection theorem in realistic communication scenarios via variable transformation. Specifically, the P-BSR structure design not only brings the robustness of parameter selection optimization, where the optimal parameter pair is not fixed but variable in quite a wide range, but also produces outstanding system performance. Theoretical analysis and simulation results indicate that in the P-BSR-CS the proposed parameter allocation scheme yields considerable performance improvement, particularly in very low signal-to-noise ratio (SNR) environments.

Key words: stochastic resonance, parameter allocation, bit error rate, channel capacity

中图分类号:  (Fluctuation phenomena, random processes, noise, and Brownian motion)

  • 05.40.-a
02.50.-r (Probability theory, stochastic processes, and statistics) 43.60.Dh (Signal processing for communications: telephony and telemetry, sound pickup and reproduction, multimedia)