A Comprehensive Review on Channel Estimation Techniques in MIMO-OFDM
DOI:
https://doi.org/10.24113/ijoscience.v5i5.204Abstract
In wireless communication, more than one signals are transmitted in the channel by using the concept of Orthogonal frequency division multiplexing (OFDM) which efficiently handles the inter symbol interference and utilizes the frequency and available bandwidth efficiently. Whereas for OFDM transmission technique is integrated with MIMO channel which contains multiple transmitter and receiver antenna at both ends. By using MIMO-OFDM system, different signals can be transmitted at the same time by utilizing same frequency and get separated in the space. As the transmitting antenna transmit signal in the noisy channel so, it is required to estimate the noise in the channel. The channel estimation technique in noisy channel helps in analyzing the effect of noise on the transmitted data. In this paper, a brief review is presented for channel estimation techniques for MIMO-OFDM.
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[2] Aqiel Almamori, Seshadri Mohan, “Estimation of Channel State Information for Massive MIMO Based on Received Data Using Kalman Filter” IEEE Computing and Communication Workshop and Conference (CCWC), 2018, pp. 665-669.
[3] Pham Hong Lien, Nguyen Due Quang and Luu Thanh Tra, “Extended Kalman Filter for Channel and Carrier Frequency Offset Estimation”, International Conference on System Science and Engineering, 2017, pp. 61-65.
[4] M. Raju and K. Ashoka Reddy, “Mean Square Error Analysis in MIMO-OFDM System using Pilot based Channel Estimation”, International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), 2016, pp. 1631-1636.
[5] Kalpesh Hiray, K. Vinoth Babu, “A Neural Network Based Channel Estimation Scheme for OFDM System”, International Conference on Communication and Signal Processing, 2016, pp. 438-441.
[6] Yihua Yu and Yuan Liang, “Joint Carrier Frequency Offset and Channel Estimation for MIMO-OFDM Systems Using Extended H? Filter”, IEEE Communications Letters, Vol. 16, No. 4, 2012, pp. 476-478.
[7] Jun-Han Oh and Jong-Tae Lim, “Two-Step Channel Estimation Scheme for OFDM Systems over Fast Rayleigh Fading Channels”, IEEE Communications Letters, Vol. 14, No. 6, 2010, pp. 545-547.
[8] Michele Morellians Umberto Mengali , “ Comparison of pilot aided channel estimation methods for OFDM systems”.IEEE trans.on signal processing , Vol. 49 , No. 12,Dec. 2001.
[9] Gianakis G.B. “Basis expansion models and diversity techniques for pilot identification and equalization of time varying channels”. Proceeding of the IEEEE,1998,86(10):1969-1986.
[10] P. Hoeher, S. Kaiser, and P. Robertson, “Two-Dimensional Pilot-Symbol-Aided Channel Estimation by Wiener Filtering,” in ICASSP, Vol. 3, (Munich), pp. 1845 – 1848, April 1997.
[11] P. Hoeher, “TCM on Frequency-Selective Land-Mobile Fading Channels,” in Proc. 5th Tirrenia International Workshop on Digital Communications, pp. 317 – 328, 1991.
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