Research Article
BibTex RIS Cite
Year 2020, , 1 - 12, 01.06.2020
https://doi.org/10.36222/ejt.573483

Abstract

References

  • [1] John, P., Masoud, S., "Digital Communications," McGraw-Hill, Fifth Edition, ISBN 978-0-295716-7-ISBN- 0-07-295716-6, 2008.
  • [2] Garima, M., Amandeep.S, S., "Adaptive Equalization Algorithms: an Overview," International journal of advanced computer science and applications. vol. 2, no. 3, march 2011 (ijacsa).
  • [3] Ardavan. M, T., Babak, H., John, C., "Adaptive Equalization of Multiple-input Multiple-output (mimo) Frequency Selective Channels,".vol. 1, IEEE 1999.
  • [4] S, Dileep Kumar., G B S R, Naidu., V ,Jagan Naveen., "Adaptive Channel Equalizer for Wireless Communication System," international journal of electronics and communication engineering (ijece). vol. 2, issue 5. nov 2013, 159-166.
  • [5] Sireesha, N., K, Chithra., Tata, S., "Performance Analysis of Linear Recursive Least Squares Adaptive Filter to Mitigate Multipath Effect".Proceedings of Sympol- 2015.
  • [6] Luca, R., Paolo, B., Geert, L.,"Simple Equalization of Time-Varying Channels for OFDM, " IIEEE Communication Letters. vol. 9, no. 7, July 2005 .
  • [7] Wing. S, L., Umberto. M, F., Desmond P, T., "Equalization of Linearly Frequency-Selective Fading Channels," IEEE Transaction on Communication. vol. 45, NO. 12, December 1997 1501.
  • [8] John E, S., Norman C, B., "Error-Rate Evaluation of Linear Equalization and Decision Feedback Equalization with Error Propagation," IEEE Transaction on Communication. vol. 46, no. 5, May 1998.
  • [9] Ben, C.W.L., Khaled, B.L., "Adaptive Equalization and Interference Cancellation for Wireless Communication Systems," IEEE Transaction on Communication. vol. 47, no 4, April 1999.
  • [10] Prachee, S., Kavitha, C., "Prediction of State Transitions in Rayleigh Fading Channels," IEEE Transaction on Vehicular Technology. vol. 56, no. 2, March 2007.
  • [11] Mahmood. F, M., Aseel. M, A.,"Combination of LMS and RLS Adaptive Equalizer for Selective Fading Channel," European Journal of Scientific Research. Vol. 43, No.1 , (2010), pp.127-137.
  • [12] Tero, I., Tobias. H, S., Mika, R., Markku, R., "Channel Equalization in Filter Bank Based Multicarrier Modulation for Wireless Communications," EURASIP Journal on Advances in Signal Processing, vo. 2007, Article ID 49389.
  • [13] Darshna, K., Geeta, N., "Performance Analysis of Adaptive Channel Equalizer Using LMS, Various Architecture of ANN and GA," International Journal of Applied Engineering Research, vol. 12, Number 22, (2017), pp. 12682-12692.
  • [14] Fazal, A., Salid, B., Muhammad, S., Qamar, I., "Effect of Variation in Filter Length on Adaptive Equalization in Frequency Selective Channels," International Bhurban Conference on Applied Sciences & Technology (IBCAST), Islamabad, Pakistan. 13th -17th January, 2015.
  • [15] Shruti R, P., Sandip R, P., Hiren, M., "Comparative Study of LMS & RLS Algorithms for Adaptive Filter Design with FPGA," Progress In Science in Engineering Research Journal ( PISER) 11, vol. 02, p 185-192 .
  • [16] Md, Khajababu., Y, Padma Sree.,G V, Sridha., "Channel Equalization of Adaptive Filters Using LMS and RLS Algorithms," International Journal of Advanced Technology in Engineering and Science, vol. 03, Issue no. 01, January 2015.
  • [17] Jyoti, D., Shadab, A., Kuldeep, G., "Comparison between Adaptive filter Algorithms (LMS, NLMS and RLS) ," International Journal of Science, Engineering and Technology Research (IJSETR) vol 2, Issue 5, May 2013.

PERFORMANCE STUDY OF FOUR EQUALIZATION TECHNIQUES OVER A WIRELESS COMMUNICATION CHANNEL

Year 2020, , 1 - 12, 01.06.2020
https://doi.org/10.36222/ejt.573483

Abstract



Abstract. Equalization techniques are commonly used
in low to moderate data transmission over time varying wireless mobile
channels. Their use is mainly to alleviate the detrimental effect of
intersymbol interference brought about by the multipath phenomena of such channels.
The wireless multipath channel is time varying which makes the use of adaptive
equalization a necessity to cope with channel variations and consequently to
overcome resulting intersymbol interference effects, restore the transmitted
symbols, and extract the information being sent. The first part of this paper
presents a comparison study of the performances of four representative methods
of adaptive equalization. Linear and nonlinear structures each with both LMS
and RLS adaptation algorithms are used in the investigation. In the second part
of the paper, a computer simulation is carried out to investigate the
relationship between the number of propagation paths of the wireless mobile
channel and the number of taps in the incorporated adaptive equalizer. Four
equalizer structures are used in this investigation which is based on Simulink
software package to simulate a communication system incorporating these
equalizers. The bit error rate (BER) performance is used as a measure for
establishing this dependency.

000

References

  • [1] John, P., Masoud, S., "Digital Communications," McGraw-Hill, Fifth Edition, ISBN 978-0-295716-7-ISBN- 0-07-295716-6, 2008.
  • [2] Garima, M., Amandeep.S, S., "Adaptive Equalization Algorithms: an Overview," International journal of advanced computer science and applications. vol. 2, no. 3, march 2011 (ijacsa).
  • [3] Ardavan. M, T., Babak, H., John, C., "Adaptive Equalization of Multiple-input Multiple-output (mimo) Frequency Selective Channels,".vol. 1, IEEE 1999.
  • [4] S, Dileep Kumar., G B S R, Naidu., V ,Jagan Naveen., "Adaptive Channel Equalizer for Wireless Communication System," international journal of electronics and communication engineering (ijece). vol. 2, issue 5. nov 2013, 159-166.
  • [5] Sireesha, N., K, Chithra., Tata, S., "Performance Analysis of Linear Recursive Least Squares Adaptive Filter to Mitigate Multipath Effect".Proceedings of Sympol- 2015.
  • [6] Luca, R., Paolo, B., Geert, L.,"Simple Equalization of Time-Varying Channels for OFDM, " IIEEE Communication Letters. vol. 9, no. 7, July 2005 .
  • [7] Wing. S, L., Umberto. M, F., Desmond P, T., "Equalization of Linearly Frequency-Selective Fading Channels," IEEE Transaction on Communication. vol. 45, NO. 12, December 1997 1501.
  • [8] John E, S., Norman C, B., "Error-Rate Evaluation of Linear Equalization and Decision Feedback Equalization with Error Propagation," IEEE Transaction on Communication. vol. 46, no. 5, May 1998.
  • [9] Ben, C.W.L., Khaled, B.L., "Adaptive Equalization and Interference Cancellation for Wireless Communication Systems," IEEE Transaction on Communication. vol. 47, no 4, April 1999.
  • [10] Prachee, S., Kavitha, C., "Prediction of State Transitions in Rayleigh Fading Channels," IEEE Transaction on Vehicular Technology. vol. 56, no. 2, March 2007.
  • [11] Mahmood. F, M., Aseel. M, A.,"Combination of LMS and RLS Adaptive Equalizer for Selective Fading Channel," European Journal of Scientific Research. Vol. 43, No.1 , (2010), pp.127-137.
  • [12] Tero, I., Tobias. H, S., Mika, R., Markku, R., "Channel Equalization in Filter Bank Based Multicarrier Modulation for Wireless Communications," EURASIP Journal on Advances in Signal Processing, vo. 2007, Article ID 49389.
  • [13] Darshna, K., Geeta, N., "Performance Analysis of Adaptive Channel Equalizer Using LMS, Various Architecture of ANN and GA," International Journal of Applied Engineering Research, vol. 12, Number 22, (2017), pp. 12682-12692.
  • [14] Fazal, A., Salid, B., Muhammad, S., Qamar, I., "Effect of Variation in Filter Length on Adaptive Equalization in Frequency Selective Channels," International Bhurban Conference on Applied Sciences & Technology (IBCAST), Islamabad, Pakistan. 13th -17th January, 2015.
  • [15] Shruti R, P., Sandip R, P., Hiren, M., "Comparative Study of LMS & RLS Algorithms for Adaptive Filter Design with FPGA," Progress In Science in Engineering Research Journal ( PISER) 11, vol. 02, p 185-192 .
  • [16] Md, Khajababu., Y, Padma Sree.,G V, Sridha., "Channel Equalization of Adaptive Filters Using LMS and RLS Algorithms," International Journal of Advanced Technology in Engineering and Science, vol. 03, Issue no. 01, January 2015.
  • [17] Jyoti, D., Shadab, A., Kuldeep, G., "Comparison between Adaptive filter Algorithms (LMS, NLMS and RLS) ," International Journal of Science, Engineering and Technology Research (IJSETR) vol 2, Issue 5, May 2013.
There are 17 citations in total.

Details

Primary Language English
Subjects Electrical Engineering
Journal Section Research Article
Authors

Anwr Elasyri 0000-0001-7570-1782

Publication Date June 1, 2020
Published in Issue Year 2020

Cite

APA Elasyri, A. (2020). PERFORMANCE STUDY OF FOUR EQUALIZATION TECHNIQUES OVER A WIRELESS COMMUNICATION CHANNEL. European Journal of Technique (EJT), 10(1), 1-12. https://doi.org/10.36222/ejt.573483

All articles published by EJT are licensed under the Creative Commons Attribution 4.0 International License. This permits anyone to copy, redistribute, remix, transmit and adapt the work provided the original work and source is appropriately cited.Creative Commons Lisansı