access icon free Combining techniques of weak signals in the bistable parallel array system

Bistable parallel array system can efficiently improve the signal-to-noise ratio (SNR) gain and further significantly lower bit-error-rate (BER) when the SNR is low. The bistable parallel array system is widely studied due to its outstanding advantages. This study presents a new method that applies combining techniques including maximum ratio combining (MRC), equal gain combining (EGC), and selection combining (SC) to the bistable parallel array system, and derives the formulas of the SNR gain, energy efficiency, and numerically calculates the BER. Through comparative analysis of these three combining techniques, it demonstrates the BER performance of the EGC technique in bistable parallel array system slightly inferiors to MRC, and the worst is SC. While the performance of all these three kinds of combining techniques is better than that of the single branch case. Importantly, higher SNR gain, higher EE and lower BER can be obtained in non-Gaussian noise cases than that in Gaussian noise cases.

Inspec keywords: numerical analysis; array signal processing; diversity reception; error statistics

Other keywords: EGC; nonGaussian noise; EE; numerical calculation; equal gain combining; bit-error-rate; maximum ratio combining; signal-to-noise ratio; single branch case; energy efficiency; MRC; BER; selection combining; SNR; SC; bistable parallel array system

Subjects: Other topics in statistics; Other numerical methods; Radio links and equipment; Signal processing and detection

References

    1. 1)
      • 8. Duan, F.B., Chapeau-Blondeau, F., Abbott, D.: ‘Noise-enhanced SNR gain in parallel array of bistable oscillators’, Electron. Lett., 2006, 42, pp. 10081009.
    2. 2)
      • 5. Duan, F.B., Rousseau, D., Chapeau-Blondeau, F.: ‘Residual aperiodic stochastic resonance in a bistable dynamic system transmitting a suprathreshold binary signal’, Phys. Rev. E, 2004, 69, pp. 0111090101110910.
    3. 3)
      • 10. Zhang, X.M., Yan, J.F., Duan, F.B.: ‘Comparison of Bistable Systems and Matched Filters in Non-Gaussian Noise’, Fluct. Noise Lett., 2016, 15, pp. 1650003 11650003 13.
    4. 4)
      • 7. Duan, F.B., Chapeau-Blondeau, F., Abbott, D.: ‘Noise improvement of SNR gain in parallel array of bistable dynamic systems by array stochastic resonance’, Physics, 2006, 42, pp. 10081009.
    5. 5)
      • 9. Ma, Y.M., Duan, F.B.: ‘Comparison of stochastic resonance in static and dynamical nonlinearities’, Phys. Lett. A, 2014, 378, pp. 26512656.
    6. 6)
      • 12. Chen, H., Varshney, P.K., Kay, S.M.: ‘Theory of the stochastic resonance effect in signal detection: part I: fixed detectors’, IEEE Trans. Signal Process., 2007, 55, pp. 31723184.
    7. 7)
      • 4. Chapeau-Blondeau, F., Godivier, X.: ‘Theory of stochastic resonance in signal transmission by static nonlinear systems’, Phys. Rev. E, 1997, 55, pp. 14781495.
    8. 8)
      • 2. Jung, P., Hanggi, P.: ‘Amplification of small signals via stochastic resonance’, Phys. Rev. A, 1991, 44, p. 8032.
    9. 9)
      • 13. Liu, J., Li, Z., Guan, L., et al: ‘A novel parameter-tuned stochastic resonator for binary PAM signal processing at low SNR’, IEEE Commun. Lett., 2014, 18, pp. 427430.
    10. 10)
      • 3. Dykman Amp, M.I., Mcclintock, P.V.E.: ‘What can stochastic resonance do?’, Nature, 1998, 391, p. 344.
    11. 11)
      • 6. Rousseau, D., Chapeau-Blondeau, F.: ‘Suprathreshold stochastic resonance and signal-to-noise ratio improvement in arrays of comparators’, Phys. Lett. A, 2004, 321, pp. 280290.
    12. 12)
      • 14. Zhang, H., Gladisch, A., Pickavet, M.: ‘Energy efficiency in communications’, IEEE Commun. Mag., 2010, 48, pp. 4849.
    13. 13)
      • 15. Akhtman, J., Hanzo, L.: ‘Power versus bandwidth efficiency in wireless communications: the economic perspective’. IEEE Vehicular Technology Conf., Barcelona, Spain, April 2009., pp. 15.
    14. 14)
      • 1. Benzi, R., Sutera, A., Vulpiani, A.: ‘The mechanism of stochastic resonance’, J. Phys. A, Math. Gen., 1981, 11, pp. 453457.
    15. 15)
      • 16. Liu, J., Li, Z.: ‘Noise enhanced energy efficiency in green wireless communications’. IEEE Int. Conf. Communications, London, UK, June 2015., pp. 3742.
    16. 16)
      • 11. Chen, H., Varshney, P.K., Kay, S., et al: ‘Noise enhanced nonparametric detection’, IEEE Trans. Inf. Theory, 2009, 55, pp. 499506.
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