Skip to main content
Springer Nature Link
Log in

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

  • Published:
Telecommunication Systems Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. Tang, C. K., Lian, B. W., & Zhang, Y. (2013). Dual loop feedback pre-distortion in satellite communication. Systems Engineering and Electronics, 24(4), 586–591.

    Article  Google Scholar 

  2. Morel, C., Arapoglou, P.-D., & Angelone, M. (2015). Link adaptation strategies for next generation satellite video broadcasting: A system approach. IEEE Transactions on Broadcasting, 61(4), 603–614.

    Article  Google Scholar 

  3. Song, H., & Brandt-Pearce, M. (2013). “Range of influence and impact of physical impairments in Long-Haul DWDM systems. IEEE/OSA Journal of Lightwave Technology, 31(6), 713–726.

    Article  Google Scholar 

  4. Du, C. H., Sun, X., & Wang, Y. X. (2016). A variable step size LMS equalization algorithm in the satellite communication system. In Industrial Electronics and Applications (ICIEA), 2016 IEEE 11th Conference on (pp. 557–1562).

  5. Chengkai, T., Baowang, L., & Lingling, Z. (2014). Post predistortion of 16APSK modulation with momory and nonlinear effect in satellite communication. Journal of Northwestern Polytechnical University, 32(6), 34–39.

    Google Scholar 

  6. Bauduin, M., Massar, S., & Horlin, F. (2016). Receiver design for non-linear satellite channels: Equalizer training and symbol detection on the compressed constellation. In Military Communications and Information Systems (ICMCIS), 2016 International Conference on (pp. 1–6).

  7. Colonnese, S., Panci, G., Rinauro, S., & Scarano, G. (2009). Semiblind Bussgang equalization for sparse channels. IEEE Transactions on Signal Processing, 57(12), 4946–4952.

    Article  Google Scholar 

  8. Sugiura, S., & Hanzo, L. (2015). Frequency-domain-equalization-aided iterative detection of faster-than-Nyquist signaling. IEEE Transactions on Vehicular Technology, 64(5), 2122–2128.

    Article  Google Scholar 

  9. Chen, S., Hong, X., & Khalaf, E. F. (2016). Comparative performance of complex-valued B-spline and polynomial models applied to iterative frequency-domain decision feedback equalization of Hammerstein channels. IEEE Transactions on Neural Networks and Learning Systems, PP(99), 1–13.

  10. Manuel, S., & Christian-Alexander, B. (2016). 5 Gb/s Eye-safe LED-based SI-POF transmission with equalization of transmitter nonlinearities. IEEE Photonics Technology Letters, 28(23), 2732–2735.

    Article  Google Scholar 

  11. Kiayani, A., Anttila, L., & Zou, Y. N. (2016). Channel estimation and equalization in multiuser uplink OFDMA and SC-FDMA systems under transmitter RF impairments. IEEE Transactions on Vehicular Technology, 65(1), 82–99.

    Article  Google Scholar 

  12. Song, H., & Brandt-Pearce, M. (2012). A 2-D discrete-time model of physical impairments in wavelength-division multiplexing systems. IEEE/OSA Journal of Lightwave Technology, 30(5), 846–854.

    Article  Google Scholar 

  13. Lei, X., & Cottatellucci, L. (2012). Contention resolution and channel estimation in satellite random access channels. In Communications in China (ICCC), 2012 1st IEEE International on (pp. 562–567).

  14. Tang, C. K., Lian, B. W., & Zhang, Y. (2015). An algorithm to eliminate self-interference of bidirectional relaying for satellite communication systems. Journal of Xi’an Jiaotong University, 49(2), 74–79.

    Google Scholar 

  15. Song, H., & Brandt-Pearce, M. (2013). Model-centric nonlinear equalizer for coherent long-haul fiber-optic communication systems. In Global Communications Conference (GLOBECOM), 2013 IEEE, Atlanta, GA (pp. 2394–2399).

Download references

Author information

Authors and Affiliations

  1. School of Electronics and Information, Northwestern Polytechnical University, Xi’an, 710072, China

    Chengkai Tang, Yi Zhang & Zhe Yue

  2. School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, 710072, China

    Lingling Zhang

Authors
  1. Chengkai Tang
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Lingling Zhang
    View author publications

    You can also search for this author inPubMed Google Scholar

  3. Yi Zhang
    View author publications

    You can also search for this author inPubMed Google Scholar

  4. Zhe Yue
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Chengkai Tang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tang, C., Zhang, L., Zhang, Y. et al. Nonlinear revised error aided feedback equalization in high-speed satellite communication. Telecommun Syst 66, 243–251 (2017). https://doi.org/10.1007/s11235-017-0282-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11235-017-0282-7

Keywords