DOI QR코드

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SDR Based Modulation Performance of RF Signal under Different Communication Channel

  • Shabana Habib (Department Information Technology, College of Computer, Qassim University)
  • 투고 : 2024.03.05
  • 발행 : 2024.03.30

초록

Hardware components are an integral part of Hardware Define Radio (HDR) for seamless operations and optimal performance. On the other hand, Software Define Radio (SDR) is a program that does not rely on any hardware components for its performance. Both of the latter radio programmers utilize modulation functions to make their core components from signal processing viewpoint. The following paper concentrates on SDR based modulation and their performance under different modulations. The bit error rate (BER) of modulations such as PSK, QAM, and PSAM were used as indicators to test channel quality estimation in planar Rayleigh fading. Though it is not commonly used for channel fading, the method of the adder determines the regionally segmented channel fading. Thus, the estimation error of the channel change substantially reduces the performance of the signal, hence, proving to be an effective option. Moreover, this paper also elaborates that BER is calculated as a function of the sample size (signal length) with an average of 20 decibels. Consequently, the size of the results for different modulation schemes has been explored. The analytical results through derivations have been verified through computer simulation. The results focused on parameters of amplitude estimation error for 1dB reduction in the average signal-to-noise ratio, while the combined amplitude deviation estimation error results are obtained for a 3.5 dB reduction

키워드

참고문헌

  1. O. Popescu, S. El-Tawab, S. Abraham and S. Abraham, "A mobile platform using software defined radios for wireless communication systems experimentation," ASEE Annual Conference & Exposition, Columbus, Ohio, pp.1-12, 2017. 
  2. M. D. Blech, P. Neumaier, A. T. Ott, A. A. Zan and T. F. Eibert, "Performance analysis of a software defined subsampling ultra-Wideband B-/QPSK impulse radio transceiver," Proceedings of the 2nd European Wireless Technology Conference, pp. 112 - 1225, 2009. 
  3. M. F. Flanagan and A. D. Fagan, "Iterative channel estimation, equalization, and decoding for pilot-symbol assisted modulation over frequency selective fast fading channels," IEEE Transactions on Vehicular Technology, vol. 54, no.4, pp. 1661-1670, 2007.  https://doi.org/10.1109/TVT.2007.897215
  4. H. Ning, H. Liu and Y. Zhang, "Scalable and distributed key array authentication protocol in radio frequency identification-based sensor systems," IET Communication, vol.5, no. 12, pp.1755-1768, 2011.  https://doi.org/10.1049/iet-com.2010.0625
  5. H. S. Park and J. D. Kim, "Geometrical approach to multi-phase RFID filtering in dense environments." IET Communication, vol.4, no.4, pp. 484-494, 2010.  https://doi.org/10.1049/iet-com.2009.0128
  6. P. Zetterberg and R. Fardi, "Open source SDR front end and measurements for 60-GHz wireless experimentation," IEEE Access, vol.3, pp.445-456, 2015.  https://doi.org/10.1109/ACCESS.2015.2414815
  7. M. Chiani, E. Milani and R. Verdone, 'A semi-analytical approach for performance evaluation of TCPIP based mobile radio links," IEEE Global Telecommunications Conference, pp. 937-942, 2000. 
  8. J. Dai " Bit-error-rate analysis of raptor codes over rician Fading channels," Journal of Electrical and Computer Engineering , vol. 2020, doi.org/10.1155/2020/2685075 . 
  9. D. Zhang, M. Pang, G. Zhang and D. Huang, "Reference chaser bandwidth controller for wireless QoS mapping under delay constraints," EURASIP Journal on Wireless Communications and Networking, vol. 10, pp. 1 - 8, 2010 
  10. C. Schuler, "Research on correction algorithm of propagation error in wireless sensor network coding," EURASIP Journal on Wireless Communications and Networking vol.1, 2020. 
  11. H. Katiyar and R. Bhattacharjee, "Average capacity and signal-to-noise ratio analysis of multi-antenna regenerative cooperative relay in Rayleigh fading channel," IET Communication, vol. 5, no.14, pp.1971-1977, 2011.  https://doi.org/10.1049/iet-com.2010.0969
  12. S. Ohno and G. B. Giannakis, "Average-rate optimal PSAM transmissions over time-selective fading channels," IEEE Transactions on Wireless Communications, vol.1, no.4, pp 712-720, 2002.  https://doi.org/10.1109/TWC.2002.804183
  13. M. C. Valenti, and B. D. Woerner, "Iterative channel estimation and decoding of pilot symbol assisted turbo codes over flat-fading channels," IEEE Journal on Selected Areas in Communications, vol. 19, no. 9, p. 1697-1705, 2001.  https://doi.org/10.1109/49.947034
  14. S. J. Lee, W. Kang and J. Seo, "Performance enhancement of OFDM-SQ2AM in distorted channel environments," IEICE Electronics Express, vol.7. no. 14, pp.1020-1026, 2010.  https://doi.org/10.1587/elex.7.1020
  15. S. Bernard, Digital communications: fundamentals and applications, Prentice-Hall, 2nd Edition. 30-33, 2001. 
  16. J. G. Proakis and M. Salehi, "Digital Communications," McGraw-Hill,.5th Edition. 2008. 
  17. A. G. Ian and M. G. Peter, "Digital Communications," Person Education, 2nd Edition., 2004. 
  18. Y. Zhang, S. B. Gelfand and M. P. Fitz, "Soft-output demodulation on frequency selective Rayleigh fading channels using AR channel models," IEEE Transactions on Communications, vol. 55, no.10, pp. 1929-1939. 2007. https://doi.org/10.1109/TCOMM.2007.906427