[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content
Springer Nature Link
Log in

A Simple Time–Space Diversity Scheme Using Extended Shaping Pulse

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

This paper proposes a new time–space diversity scheme for data transmission through flat fading channels. Extended pulses are used to shape the modulated symbols at different time slots. The proposed transmitter does not change the transmission rate of the modulated symbols after the shaping process. One transmitting antenna is used to transmit the shaped symbols. Multiple antennas are used in the receiver to collect the transmitted symbols. The diversity gain in the proposed system is the product of the numbers of time slots through which the modulated symbol is transmitted and the number of receiving antennas. The proposed transmitter uses neither space–time codes nor spreading codes. The received signal suffers from intentional inter-symbol interference due to the correlation between the shaped symbols. Instead of using equalizers to remove this interference, multi-symbols detectors are used to exploit this interference to achieve the desired diversity gain. Buffers store the replicas of the desired symbol after the multi-symbols detector during its diverse period. Two-dimensional maximal ratio combiner adds these replicas in one decision variable. The proposed system achieves high diversity gain in flat fading channels with one transmitting antenna, and without affecting the used communication resources.

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
£29.99 /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 includes VAT (United Kingdom)

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

References

  1. Lei, G., Liu, Y., & Xiao, X. (2017). Performance analysis of adaptive space-time coded systems with continuous phase modulation. AEU—International Journal of Electronics and Communications,80, 80–85.

    Article  Google Scholar 

  2. Hassan, A. Y. (2015). Code-time diversity for direct sequence spread spectrum systems. Wireless Personal Communications,84(1), 695–718.

    Article  Google Scholar 

  3. Surendar, M., & Muthuchidambaranathan, P. (2016). Low complexity and high diversity gain non-linear constellation precoded MIMO-OFDM system with subcarrier grouping. AEU—International Journal of Electronics and Communications,70(3), 265–271.

    Article  Google Scholar 

  4. Sung, Y.-S., Lee, J.-H., Kim, Y.-H., & Kim, S.-C. (2014). Optimal subcarrier pairing scheme for maximal ratio combining in OFDM power line communications. AEU—International Journal of Electronics and Communications,68(9), 893–898.

    Article  Google Scholar 

  5. Hassan, A. Y. (2017). A simple transmit diversity system for fading channels using shaped sinusoidal functions. AEU—International Journal of Electronics and Communications,76, 97–106.

    Article  Google Scholar 

  6. Shrivastava, N., & Trivedi, A. (2015). Combined beam-forming with space-time-frequency coding for MIMO–OFDM systems. AEU—International Journal of Electronics and Communications,69(6), 878–883.

    Article  Google Scholar 

  7. Pahadsingh, S., & Sahu, S. (2018). Four port MIMO integrated antenna system with DRA for cognitive radio platforms. AEU—International Journal of Electronics and Communications,92, 98–110.

    Article  Google Scholar 

  8. Yu, X., Yang, Y., Kuang, Q., Tan, W., & Chen, X. (2013). Power allocation for multi-antenna systems with space-time block coding in the presence of estimation error and delayed feedback. AEU—International Journal of Electronics and Communications,67(3), 182–188.

    Article  Google Scholar 

  9. Ghadyani, M., & Shahzadi, A. (2018). Compressive sensing power control for interference management in D2D underlaid massive MIMO systems. AEU—International Journal of Electronics and Communications,90, 79–87.

    Article  Google Scholar 

  10. Karthikeyan, M., & Saraswady, D. (2016). Reduced complexity sphere decoding using probabilistic threshold based Schnorr–Euchner enumeration. AEU—International Journal of Electronics and Communications,70(4), 449–455.

    Article  Google Scholar 

  11. Ahmed, S., & Kim, S. (2017). Efficient SIC-MMSE MIMO detection with three iterative loops. AEU—International Journal of Electronics and Communications,72, 65–71.

    Article  Google Scholar 

  12. Faraji, S. R., Salari, A., & Sheikhaei, S. (2016). Fixed-point implementation of interpolation-based MMSE MIMO detector in joint transmission scenario for LTE-A wireless standard. AEU—International Journal of Electronics and Communications,70(11), 1506–1514.

    Article  Google Scholar 

  13. Rappaport, T. S. (2002). Wireless communications: Principles and practice (2nd ed.). Englewood Cliffs: Prentice Hall.

    MATH  Google Scholar 

  14. Acharjee, J., Mandal, K., & Mandal, S. K. (2018). Reduction of mutual coupling and cross-polarization of a MIMO/diversity antenna using a string of H-shaped DGS. AEU—International Journal of Electronics and Communications,97, 110–119.

    Article  Google Scholar 

  15. Layegh, M. A., Ghobadi, C., Nourinia, J., Samoodi, Y., & Mashhadi, S. N. (2018). Adaptive neuro-fuzzy inference system approach in bandwidth and mutual coupling analyses of a novel UWB MIMO antenna with notch bands applicable for massive MIMOs. AEU—International Journal of Electronics and Communications,94, 407–417.

    Article  Google Scholar 

  16. Qiang, G., Yi, Z., Jun, Z., & Xiao-Hong, P. (2010). Improving energy efficiency in a wireless sensor network by combining cooperative MIMO with data aggregation. IEEE Transactions on Vehicular Technology,59(8), 3956–3965.

    Article  Google Scholar 

  17. Cui, S., Goldsmith, A. J., & Bahai, A. (2004). Energy efficiency of MIMO and cooperative MIMO techniques in sensor networks. IEEE Journal on Selected Areas in Communications,22(6), 1089–1098.

    Article  Google Scholar 

  18. Khan, Z. A., Händel, P., & Isaksson, M. (2017). A comparative analysis of the complexity/accuracy tradeoff in the mitigation of RF MIMO transmitter impairments. In: 89th ARFTG microwave measurement conference (ARFTG). https://doi.org/10.1109/arftg.2017.8000827.

  19. Jafarkhani, H. (2001). A quasi-orthogonal space-time block code. IEEE Transactions on Communications,49(1), 1–4.

    Article  Google Scholar 

  20. Su, W., & Xia, X.-G. (2002). Quasi-orthogonal space-time block codes with full diversity. In Proceedings IEEE GLOBECOM (pp. 1098–1102).

  21. Gao, M., Zhang, L., Han, C., & Ge, J. (2015). Low-complexity detection schemes for QOSTBC with four-transmit-antenna. Communications Letters IEEE,19(6), 1053–1056.

    Article  Google Scholar 

  22. Hassan, A. Y. (2019). Enhancing signal detection in frequency selective channels by exploiting time diversity in inter-symbol interference signal. Wireless Personal Communication,106, 1373–1395. https://doi.org/10.1007/s11277-019-06220-5.

    Article  Google Scholar 

  23. Hassan, A. Y., Hassan, A. M., & Hussian, A. F. (2009). Two signatures’ codes linear decorrelator detector for CDMA systems. IEEE Wireless Telecommunications Symposium (WTS). https://doi.org/10.1109/WTS.2009.5068935.

    Article  Google Scholar 

  24. Verdu, S. (1998). Multiuser detection (1st ed.). Cambridge: Cambridge University Press.

    MATH  Google Scholar 

  25. Schonhoff, T. A., & Giordano, A. A. (2006). Detection and estimation theory and its applications. Englewood Cliffs: Pearson/Prentice Hall.

    Google Scholar 

  26. Proakis, J. G. (2001). Digital communications. New York: McGraw-Hill Inc.

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Benha Faculty of Engineering, Benha University, Benha, Egypt

    Ashraf Y. Hassan

Authors
  1. Ashraf Y. Hassan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ashraf Y. Hassan.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hassan, A.Y. A Simple Time–Space Diversity Scheme Using Extended Shaping Pulse. Wireless Pers Commun 113, 821–841 (2020). https://doi.org/10.1007/s11277-020-07254-w

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-020-07254-w

Keywords

Search

Navigation