Review Paper on Comparison and Analysis of Channel Estimation Algorithm in MIMO-OFDM System
DOI:
https://doi.org/10.18486/ijcsnt/5.3.073Keywords:
Channel Estimation, MIMO, OFDM, MMSE, LLMSAbstract
The main objective of the paper is to preview the work that has already been done related to channel estimation techniques in MIMO-OFDM system. Channel estimation algorithm i.e. Block type, Comb type, etc, are discussed. In communication systems MINO-OFDM, channel estimation plays a major role. Channel estimation is the estimation of transmitted signal bits using received signal bits. In this paper a review on different channel estimation methods like Least Square and Minimum Mean Square Error, Least mean Square methods are discussed.
References
Coleri S, Ergen M, Puri A et al. Channel estimation techniques based on pilot arrangement in ofdm systems. IEEE Trans Broadcast 2002; 48(3): 223–229. DOI: https://doi.org/10.1109/TBC.2002.804034
Chaouech H and Bouallegue R. Channel estimation and multiuser detection in asynchronous satellite communications. International Journal of Wireless & Mobile Networks (IJWMN) 2010; 2(4). DOI: https://doi.org/10.5121/ijwmn.2010.2411
Chang MX and Hsieh TD. Detection of ofdm signals in fast-varying channels with low-density pilot symbols. IEEE Trans Veh Technol 2008; 57(2): 859–872. DOI: https://doi.org/10.1109/TVT.2007.906369
Liang Y, Luo H, Yan C et al. Channel estimation using adaptive filters in mimo-ofdm systems. In International Conference on Wireless Communications, Networking and Mobile Computing. pp. 1–5. DOI: https://doi.org/10.1109/WiCOM.2006.41
Singh H and Khurana I. Enhanced adaptive channel estimation technique for mimo-ofdm wireless systems. International Journal of Computer Applications (0975 – 8887) 2014; 94(20). DOI: https://doi.org/10.5120/16553-6196
Weikert O and Zölzer U. Efficient mimo channel estimation with optimal training sequences. Holstenhofweg 85, 22043 Hamburg, Germany: Department of Signal Processing and Communications, Helmut Schmidt University – University of the Federal Armed Forces Hamburg.
Yin C, Li J, Hou X et al. Pilot aided ls channel estimation in mimo-ofdm systems. In ICSP2006 Proceedings. DOI: https://doi.org/10.1109/ICOSP.2006.345832
Chang MX. A new derivation of least-squares-fitting principle for ofdm channel estimation. IEEE Trans Wireless Commun 2006; 5(4): 726–731. DOI: https://doi.org/10.1109/TWC.2006.1618919
Ganesh RS, Jayakumari J and Akhila IP. Channel estimation analysis in mimo-ofdm wireless systems. In icsccn 2011 proceedings. DOI: https://doi.org/10.1109/ICSCCN.2011.6024583
Cicerone M, Simeone O and Spagnolini U. Channel estimation for mimo-ofdm systems by modal analysis/filtering. IEEE Transactions on Communications 2006; 54(11): 2062–2074. DOI: https://doi.org/10.1109/TCOMM.2006.884849
Edris FAF, Elsid AG and Nerma MHM. A study of channel estimation in fast fading environments. International Journal of Scientific and Technology Research 2015; 4(8): 196–203.
Katariya A, Yadav A, Jain N et al. Ber comparison of rs and bch coded ofdm transmission over noisy channel. In IEEE International Conference on Computational Intelligence and Communication Networks (CICN2011). p. 233. DOI: https://doi.org/10.1109/CICN.2011.45
Katariya A, Yadav A, Jain N et al. Ber performance criteria based on standard ieee 802.11a for ofdm in multipath fading environments. In IEEE International Conference on Computational Intelligence and Communication Networks (CICN2011). pp. 238–241. DOI: https://doi.org/10.1109/CICN.2011.47
Rani S and Kansal M. A survey on channel estimation in mimo-ofdm systems. International Journal of Engineering and Computer Science 2015; 4(3): 11010–11013.
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