access icon free Robust adaptive blind equalisation in impulsive noise

To solve the significant performance degradation of existing algorithms in the impulsive noise environment, a novel blind equalisation method called robust adaptive weighted multi-modulus algorithm is proposed in this Letter. The authors introduce an adaptive weight coefficient to suppress the effect of large output error in the weight updating process. Theoretical analysis indicates that the proposed algorithm can suppress the impulsive noise effectively. Moreover, it can accelerate the convergence speed. Simulation results illustrate the robust performance and fast convergence speed of the proposed algorithm under α-stable noise environment.

Inspec keywords: blind equalisers; adaptive equalisers; impulse noise; interference suppression

Other keywords: adaptive weight coefficient; convergence speed; robust adaptive weighted multimodulus algorithm; impulsive noise environment; α-stable noise environment; large output error effect suppression; weight updating process; robust adaptive blind equalisation

Subjects: Electromagnetic compatibility and interference; Communication channel equalisation and identification

References

    1. 1)
      • 11. Shao, M., Nikias, C.L.: ‘Signal processing with fractional lower order moments: stable processes and their applications’, Proc., 1993, 81, pp. 9861010.
    2. 2)
    3. 3)
    4. 4)
    5. 5)
      • 10. Jones, D.L.: ‘A normalized constant-modulus algorithm’. Conf. Record of the Twenty-Ninth Asilomar Conf. on Signals, Systems and Computers, 1995, vol. 1, pp. 694697.
    6. 6)
    7. 7)
      • 7. Oh, H., Nam, H.: ‘Simple structure of a receiver for blind communication in impulsive noise’. IEEE Int. Conf. Information and Communication Technology Convergence, 2016, pp. 588592.
    8. 8)
    9. 9)
    10. 10)
      • 3. Farsad, N., Guo, W., Chae, C.B., et al: ‘Stable distributions as noise models for molecular communication’. IEEE Global Communications Conf., 2015, pp. 16.
    11. 11)
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