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Nonlinear revised error aided feedback equalization in high-speed satellite communication

Author

Listed:
  • Chengkai Tang

    (Northwestern Polytechnical University)

  • Lingling Zhang

    (Northwestern Polytechnical University)

  • Yi Zhang

    (Northwestern Polytechnical University)

  • Zhe Yue

    (Northwestern Polytechnical University)

Abstract

Aiming to the question of nonlinear interference which is caused by the high order signal modulation of satellite communications, and the question of obvious memory characteristics of the satellite channel, the existing equalization algorithms are difficult to quickly cancel the nonlinear interference and memory interference. This paper proposed a nonlinear revised error aided feedback equalization algorithm. Due to the nonlinear characteristics of amplitude and phase don’t interference with each other, so the amplitude and phase of the received signals are separated in first, then they utilize the feedback equalization to abate memory interference. In addition, the nonlinear interference of satellite channel would degrade the performance of satellite communication, the algorithm utilizes the three-order Volterra module to revise the nonlinear error and it is adapted to renews the parameters of feedback equalization to reduce the nonlinear interference. Our proposed algorithm utilized the nonlinear revised error instead of the nonlinear revised received signal to reduce the computation complexity and improve the nonlinear interference cancelation. In the simulation part, we compare the proposed equalization algorithm with the existing equalization algorithms in three parts of SER, convergence speed and computation complexity. The simulation and analysis results show that our proposed algorithm have better nonlinear interference cancelation and less computational complexity.

Suggested Citation

  • Chengkai Tang & Lingling Zhang & Yi Zhang & Zhe Yue, 2017. "Nonlinear revised error aided feedback equalization in high-speed satellite communication," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 66(2), pages 243-251, October.
  • Handle: RePEc:spr:telsys:v:66:y:2017:i:2:d:10.1007_s11235-017-0282-7
    DOI: 10.1007/s11235-017-0282-7
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