A Novel Iterative Channel Estimation Technique for Multipath Fading Channels in MIMO-OFDM Using Auxiliary Pilots

Subject Areas : Telecommunications Engineering

Seyed Hamidreza Mirsalari ¹ , Afrooz Haghbin ² , Farbod Razzazi ³

1 - Department of Electrical and Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 - 2Department of Electrical and Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
3 - 2Department of Electrical and Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

Received: 2022-10-13 Accepted : 2023-01-23 Published : 2023-06-22

Keywords: multi-path fading, auxiliary pilots, MIMO-OFDM, channel re-estimation,

Abstract :

The paper proposes a novel iterative channel estimation technique for multipath fading channels in Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing(MIMO-OFDM)systems with Gaussian noise and impulse noise. MIMO-OFDM systems can be beneficial if the estimated channel quality is assured at the receiver. The paper also proposes an auxiliary pilot for channel re-estimation based on some reliably retrieved data symbols. In subsequent iterations, adding new auxiliary pilots improves channel estimation accuracy. The correlation between the data channel coefficients and the original pilots is used to select reliable data. Since iterative channel estimation is time-consuming, using a channel estimator with a low processing time and computational complexity is imperative. An easy-to-implement baseline least squares(LS)method is used in the proposed estimator. According to the simulation results, the proposed iterative channel estimation technique improves MIMO-OFDM performance by increasing the number of pilots in subsequent iterations compared to the conventional channel estimation techniques.

References:

[1]       D. Tse, P. Viswanath, "Fundamentals of Wireless Communication", Cambridge U.K: Cambridge University, 2005.

[2]       J. Lee,J.-K. Han and J. Zhang, "MIMO Technologies in 3GPP LTE and LTE-Advanced," EURASIP Journal on Wireless Communications and Networking, vol. 2009, no. 302092, p. 10, 2009, doi: 10.1155/2009/302092.

[3]       S. Dixit , H. Katiyar and A. K. Singh, "MIMO-OFDM in a Cooperative Frequency Selective Fading Channel: An Analysis," Journal of Computer Networks and Communications, vol. 2019, p. 7, 2019, doi: 10.1155/2019/9107505.

[4]       Y. Liu, Zh. Tan, H. Hu, L. J. Cimini Jr, and G. Ye Li, "Channel Estimation for OFDM," IEEE Communication Surveys & Tutorials, vol. 16, no. 4, pp. 1891-1908, 2014, doi: 10.1109/COMST.2014.2320074.

[5]       A. A. Kalachikov, "Numerical Evaluation of the MU-MIMO Beamforming with LS Channel Estimation," in 2022 Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology(USBEREIT), Yekaterinburg, 2022, pp. 183-186, doi: 10.1109/USBEREIT56278.2022.9923380.

[6]       V. Vasylyshyn, "Channel Estimation Method for OFDM Communication System using Adaptive Singular Spectrum Analysis," in 2020 IEEE 40th International Conference on Electronics and Nanotechnology(ELNANO), Kyiv, 2020, pp. 884-887, doi: 10.1109/ELNANO50318.2020.9088787.

[7]       R. Srividhya, T. Jayachandran, A. Bennet M and V. Rajmohan, "Channel Estimation for OFDM Systems Using MMSE and LS Algorithms," in 2022 6th International Conference on Trends in Electronics and Informatics(ICOEI), Tirunelveli, 2022, pp. 1-5, doi: 10.1109/LCOMM.2021.3059776.

[8]       J.Gao and H.Liu, "Decision-Directed Estimation of MIMO Time-Varying Rayleigh Fading Channels," IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, vol. 4, no. 4, pp. 1412 - 1417, 2005, doi: 10.1109/TWC.2005.852131.

[9]       Ch. Sh. Valmeekam and K. Narayanan, "A Semi-Blind Decision Directed Iterative Channel Estimation and Decoding for LDPC Coded OFDM Systems," in 2022 IEEE Wireless Communications and Networking Conference(WCNC), Austin, 2022, pp. 686-691, doi: 10.1109/WCNC51071.2022.9771751.

[10]    A. Ladaycia, M. Pesavento, A. Mokraoui, K. Abed-Meraim and A. Belouchrani, "Decision Feedback Semi-blind Estimation Algorithm for Specular OFDM Channels," in ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), Brighton, 2019, pp. 4664-4668, doi: 10.1109/ICASSP.2019.8683699.

[11]    X. Li, Q. Zhang, Q. Tian, Y. Tao, B. Liu, F. Tian, Y. Shen, D. Chen and H. Wa, "A decision feedback channel estimation approach of the satellite mobile communication system," in 15th International Conference on Optical Communications and Networks(ICOCN), Hangzhou, 2016, pp. 1-3, doi: 10.1109/ICOCN.2016.7875820.

[12]    S. Park, B. Shim and J. W. Choi, "Iterative Channel Estimation Using Virtual Pilot Signals for MIMO-OFDM Systems," IEEE Transactions On Signal Processing, vol. 63, no. 12, pp. 3032 - 3045, 2015, doi: 10.1109/TSP.2015.2416684.

[13]    M. Okamura and Ch. J. Ahn, "Channel compensation with virtual pilot signal and time-frequency interferometry for MIMO-OFDM," Nonlinear Theory and Its Applications IEICE, vol. 9, no. 1, pp. 82-94, 2018, doi: 10.1587/nolta.9.82.

[14]    Th. Shongwe , A. J. Han Vinck and H. C. Ferreira, "A Study on Impulse Noise and Its Models," SAIEE Africa Research Journal, vol. 109, no. 3, pp. 119 - 131, 2015, doi: 10.23919/SAIEE.2015.8531938.

[15]    Th. Shongwe , A. J. Han Vinck and H. C. Ferreira, "A Study on Impulse Noise and Its Models," SAIEE Africa Research Journal, vol. 109, no. 3, pp. 119 - 131, 2015, doi: 10.23919/SAIEE.2015.8531938.

[16]    M. Yusuf, E. Tanghe, F. Challita, P. Laly, L.Martens, D. P. Gaillot, M. Lienard and W. Joseph, "Autoregressive Modeling Approach for Non-Stationary Vehicular Channel Simulation," IEEE Transactions on Vehicular Technology, vol. 71, no. 2, pp. 1124 - 1131, 2022, doi: 10.1109/TVT.2021.3132859.

[17]    K. E. Baddour and N. C. Beaulieu, "Autoregressive Modeling for Fading Channel Simulation," IEEE Transaction on Wireless Communication, vol. 4, no. 4, pp. 1650 - 1662, 2005, doi: 10.1109/TWC.2005.850327.