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Yıl 2016, Special Issue (2016), 33 - 36, 01.12.2016

Seda Üstün Ercan

https://doi.org/10.18100/ijamec.270714
Cited By: 1

Öz

Kaynakça

  • [1] Foschini G. J., Gans M. J. On Limits of Wireless Communications in Fading Environment When Using Multiple Antennas, Wireless Pers. Commun, 6, 1998, pp. 311-335.
  • [2] Telatar E. Capacity of Multi Antenna Gaussian Channels, AT&T Bell Labs S, 1995.
  • [3] Foschini G. J. Layered Space-Time Architecture for Wireless Communication in a Fading Environment When Using Multi-element Antennas, Bell Labs Technical Journal, Vol.1, Number. 2, 1996, pp. 41–59.
  • [4] Wan F., Zhu W.-P., Swamy M. N. S. A Semiblind Channel Estimation Approach for MIMO-OFDM Systems, IEEE Transactions On Signal Processing, Vol.56 Number.7, 2008, pp. 2821-2834.
  • [5] Engiz B. K., Kurnaz Ç., Sezgin H. Approach for Determining the Optimum Pilot Placement in Orthogonal Frequency Division Multiplexing Systems, IET Communications, Vol.9 Number.15, 2015, pp. 1915-1923.
  • [6] Xu C., Li H., Chang S. Semi-blind MIMO-OFDM Channel Estimation Based on ICA and Pilot Carriers, 2011 IEEE International Conference on Signal Processing, 14-16 Sept. 2011.
  • [7] Haiyuan, L., Jiancheng, S., Blind MIMO-OFDM Channel Estimation Based on ICA and KRLS Algorithm, 5th International Conference on Wireless Communications, Networking and Mobile Computing, pp. 1-5, 2009.
  • [8] Edfors O., Sandell M., van de Beek J. -J., Wilson S. K., Ola Borjesson P. OFDM Channel Estimation by Singular Value Decomposition, 1996, pp.923-927.
  • [9] Zaier, A., Bouallegue R., Blind Channel Estimation Enhancement for Mimo-OFDM Systems under High Mobility Conditions, International Journal of Wireless & Mobile Networks (IJWMN), Vol. 4, Number. 1, 2012.
  • [10] Ercan S. Ü., Kurnaz Ç. Investigation of Blind and Pilot Based Channel Estimation Performances in MIMO-OFDM Systems, IEEE 23th Signal Processing and Communications Applications Conference, 16-19 May 2015, Malatya, Turkey.
  • [11] Patil S. M., Jadhav A. N. Channel Estimaiton Using LS and MMSE Estimators. International Journal on Recent and Innovation Trends in Computing and Communication Vol.2, Issue. 3, 2014, pp. 566-570.
  • [12] Kewen L., XinKe. Research of MMSE and LS channel estimation in OFDM systems, The 2nd International Conference on Information Science and Engineering, 2010, pp. 2308-2311.
  • [13] Hyvärinen A., Oja, E.. Independent Component Analysis: Algorithms and Application, Neural Networks, 13 (4-5): 2000, pp. 411-430.
  • [14] Hyvarinen A., Karhunen J., and Oja E. Independent Component Analysis, Wiley-Interscience, 2001..
  • [15] Meyer C. D. Matrix Analysis and Applied Linear Algebra. 2000, Cambridge, UK.
  • [16] Naik, G.R., Kumar, D.K., An Overwiew of Independent Component Analysis and its Application. Informatica, 35, 2011, pp. 63-81.

Channel Estimation Techniques for MIMO-OFDM Systems over Frequency Selective Fading Channels

Yıl 2016, Special Issue (2016), 33 - 36, 01.12.2016

Seda Üstün Ercan

https://doi.org/10.18100/ijamec.270714
Cited By: 1

Öz

Wireless channel is very complex because of  both frequency and time selectivity. In order
to overcome the adverse effects of multipath fading in mobile communication
channels, channel estimation must be performed. 
There are three kinds of channel estimation methods: pilot based, blind
and semi-blind. In pilot based channel estimation, some of data symbols are
used to estimate channel. In blind channel estimation statistical properties of
channel are used. In semi-blind channel estimation information from both data
symbols and statistical properties is utilized. In this study, pilot based and
semi-blind channel estimation are used to estimate the channels with various
frequency selectivity in multiple input multiple output-orthogonal frequency
division multiplexing (MIMO-OFDM) systems. Semi-blind channel estimation is
done by using independent component analysis (ICA). Simulation results show
that if the frequency selectivity of the channel is high, semi-blind channel
estimation technique can be used instead of pilot based channel estimation. Thus
with a using a small number of pilot bits, more data can be used in the MIMO
systems.

Anahtar Kelimeler

MIMO-OFDM pilot based semi-blind channel estimation ICA

Kaynakça

  • [1] Foschini G. J., Gans M. J. On Limits of Wireless Communications in Fading Environment When Using Multiple Antennas, Wireless Pers. Commun, 6, 1998, pp. 311-335.
  • [2] Telatar E. Capacity of Multi Antenna Gaussian Channels, AT&T Bell Labs S, 1995.
  • [3] Foschini G. J. Layered Space-Time Architecture for Wireless Communication in a Fading Environment When Using Multi-element Antennas, Bell Labs Technical Journal, Vol.1, Number. 2, 1996, pp. 41–59.
  • [4] Wan F., Zhu W.-P., Swamy M. N. S. A Semiblind Channel Estimation Approach for MIMO-OFDM Systems, IEEE Transactions On Signal Processing, Vol.56 Number.7, 2008, pp. 2821-2834.
  • [5] Engiz B. K., Kurnaz Ç., Sezgin H. Approach for Determining the Optimum Pilot Placement in Orthogonal Frequency Division Multiplexing Systems, IET Communications, Vol.9 Number.15, 2015, pp. 1915-1923.
  • [6] Xu C., Li H., Chang S. Semi-blind MIMO-OFDM Channel Estimation Based on ICA and Pilot Carriers, 2011 IEEE International Conference on Signal Processing, 14-16 Sept. 2011.
  • [7] Haiyuan, L., Jiancheng, S., Blind MIMO-OFDM Channel Estimation Based on ICA and KRLS Algorithm, 5th International Conference on Wireless Communications, Networking and Mobile Computing, pp. 1-5, 2009.
  • [8] Edfors O., Sandell M., van de Beek J. -J., Wilson S. K., Ola Borjesson P. OFDM Channel Estimation by Singular Value Decomposition, 1996, pp.923-927.
  • [9] Zaier, A., Bouallegue R., Blind Channel Estimation Enhancement for Mimo-OFDM Systems under High Mobility Conditions, International Journal of Wireless & Mobile Networks (IJWMN), Vol. 4, Number. 1, 2012.
  • [10] Ercan S. Ü., Kurnaz Ç. Investigation of Blind and Pilot Based Channel Estimation Performances in MIMO-OFDM Systems, IEEE 23th Signal Processing and Communications Applications Conference, 16-19 May 2015, Malatya, Turkey.
  • [11] Patil S. M., Jadhav A. N. Channel Estimaiton Using LS and MMSE Estimators. International Journal on Recent and Innovation Trends in Computing and Communication Vol.2, Issue. 3, 2014, pp. 566-570.
  • [12] Kewen L., XinKe. Research of MMSE and LS channel estimation in OFDM systems, The 2nd International Conference on Information Science and Engineering, 2010, pp. 2308-2311.
  • [13] Hyvärinen A., Oja, E.. Independent Component Analysis: Algorithms and Application, Neural Networks, 13 (4-5): 2000, pp. 411-430.
  • [14] Hyvarinen A., Karhunen J., and Oja E. Independent Component Analysis, Wiley-Interscience, 2001..
  • [15] Meyer C. D. Matrix Analysis and Applied Linear Algebra. 2000, Cambridge, UK.
  • [16] Naik, G.R., Kumar, D.K., An Overwiew of Independent Component Analysis and its Application. Informatica, 35, 2011, pp. 63-81.
Toplam 16 adet kaynakça vardır.

Ayrıntılar

Konular Mühendislik
Bölüm Research Article
Yazarlar

Seda Üstün Ercan

Yayımlanma Tarihi 1 Aralık 2016
Yayımlandığı Sayı Yıl 2016 Special Issue (2016)

Kaynak Göster

APA Üstün Ercan, S. (2016). Channel Estimation Techniques for MIMO-OFDM Systems over Frequency Selective Fading Channels. International Journal of Applied Mathematics Electronics and Computers(Special Issue-1), 33-36. https://doi.org/10.18100/ijamec.270714
AMA Üstün Ercan S. Channel Estimation Techniques for MIMO-OFDM Systems over Frequency Selective Fading Channels. International Journal of Applied Mathematics Electronics and Computers. Aralık 2016;(Special Issue-1):33-36. doi:10.18100/ijamec.270714
Chicago Üstün Ercan, Seda. “Channel Estimation Techniques for MIMO-OFDM Systems over Frequency Selective Fading Channels”. International Journal of Applied Mathematics Electronics and Computers, sy. Special Issue-1 (Aralık 2016): 33-36. https://doi.org/10.18100/ijamec.270714.
EndNote Üstün Ercan S (01 Aralık 2016) Channel Estimation Techniques for MIMO-OFDM Systems over Frequency Selective Fading Channels. International Journal of Applied Mathematics Electronics and Computers Special Issue-1 33–36.
IEEE S. Üstün Ercan, “Channel Estimation Techniques for MIMO-OFDM Systems over Frequency Selective Fading Channels”, International Journal of Applied Mathematics Electronics and Computers, sy. Special Issue-1, ss. 33–36, Aralık 2016, doi: 10.18100/ijamec.270714.
ISNAD Üstün Ercan, Seda. “Channel Estimation Techniques for MIMO-OFDM Systems over Frequency Selective Fading Channels”. International Journal of Applied Mathematics Electronics and Computers Special Issue-1 (Aralık 2016), 33-36. https://doi.org/10.18100/ijamec.270714.
JAMA Üstün Ercan S. Channel Estimation Techniques for MIMO-OFDM Systems over Frequency Selective Fading Channels. International Journal of Applied Mathematics Electronics and Computers. 2016;:33–36.
MLA Üstün Ercan, Seda. “Channel Estimation Techniques for MIMO-OFDM Systems over Frequency Selective Fading Channels”. International Journal of Applied Mathematics Electronics and Computers, sy. Special Issue-1, 2016, ss. 33-36, doi:10.18100/ijamec.270714.
Vancouver Üstün Ercan S. Channel Estimation Techniques for MIMO-OFDM Systems over Frequency Selective Fading Channels. International Journal of Applied Mathematics Electronics and Computers. 2016(Special Issue-1):33-6.

Cited By

MIMO Sistemlerde Alamouti Uzay Zaman Blok Kodlamanın Weibull Sönümleme Kanalı Üzerindeki Performans Analizi
Düzce Üniversitesi Bilim ve Teknoloji Dergisi
https://doi.org/10.29130/dubited.481091

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