Implementation of Psam Fading Estimator For Wirelesss Communication

  • Unique Paper ID: 195183
  • Volume: 12
  • Issue: 10
  • PageNo: 6905-6911
  • Abstract:
  • Channel estimation is necessary in wireless communication systems that are affected by noise as well as multipath fading. In this project, a Pilot Symbol Assisted Modulation (PSAM) method of channel estimation is designed using VHDL and simulated using Vivado software. The input signal is changed, and different channel conditions are analyzed by observing the spikes in the output. The changes in the input signal are used to mimic the noise conditions, similar to the AWGN channel in actual communication systems. Small spikes indicate low noise conditions, while large changes indicate high channel disturbance. The interpolation method is used to smooth the output, as shown by the spikes, which makes the channel estimation process stable.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{195183,
        author = {K. Subba Akshaya and P. Silivia and K. Krishna Leela and Dr. S.M Shamsheer Daula},
        title = {Implementation of Psam Fading Estimator For Wirelesss Communication},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {6905-6911},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195183},
        abstract = {Channel estimation is necessary in wireless communication systems that are affected by noise as well as multipath fading. In this project, a Pilot Symbol Assisted Modulation (PSAM) method of channel estimation is designed using VHDL and simulated using Vivado software. The input signal is changed, and different channel conditions are analyzed by observing the spikes in the output. The changes in the input signal are used to mimic the noise conditions, similar to the AWGN channel in actual communication systems. Small spikes indicate low noise conditions, while large changes indicate high channel disturbance. The interpolation method is used to smooth the output, as shown by the spikes, which makes the channel estimation process stable.},
        keywords = {Channel Estimation, PSAM, VHDL, Vivado, Pilot Symbols, Multipath Fading, Interpolation},
        month = {March},
        }

Cite This Article

Akshaya, K. S., & Silivia, P., & Leela, K. K., & Daula, D. S. S. (2026). Implementation of Psam Fading Estimator For Wirelesss Communication. International Journal of Innovative Research in Technology (IJIRT), 12(10), 6905–6911.

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