Performance of STBC Based MIMO-OFDM Using Pilot-aided Channel Estimation

Main Article Content

Sarah Saleh Idan
Mohammed Kasim Al-Haddad

Abstract

Many studies have been published to address the growing issues in wireless communication systems. Space-Time Block Coding (STBC) is an effective and practical MIMO-OFDM application that can address such issues. It is a powerful tool for increasing wireless performance by coding data symbols and transmitting diversity using several antennas. The most significant challenge is to recover the transmitted signal through a time-varying multipath fading channel and obtain a precise channel estimation to recover the transmitted information symbols. This work considers different pilot patterns for channel estimation and equalization in MIMO-OFDM systems. The pilot patterns fall under two general types: comb and block types, with a proper arrangement suitable to the multiple transmit antennas. The two main channel estimation methods, LS and MMSE, are compared by evaluating performance in terms of Bit Error Rate (BER) to analyze the performance of pilot-aided channel estimation for 2x2 and 4x4 MIMO arrangements utilizing LTE parameters and the effects of modifying different numbers of OFDM subcarriers under different channel models It has been discussed, a 4x4 system performs better than a 2x2 system in terms of BER with an acceptable amount of additional complexity.

Article Details

How to Cite
“Performance of STBC Based MIMO-OFDM Using Pilot-aided Channel Estimation” (2023) Journal of Engineering, 29(06), pp. 17–29. doi:10.31026/j.eng.2023.06.02.
Section
Articles

How to Cite

“Performance of STBC Based MIMO-OFDM Using Pilot-aided Channel Estimation” (2023) Journal of Engineering, 29(06), pp. 17–29. doi:10.31026/j.eng.2023.06.02.

Publication Dates

References

Achoura, N., Bouallegue, R., 2011. Impact of Limited Feedback on MIMO-OFDM Systems using Joint Beamforming. IJWMN Vol. 3, No. 2.

Cho, Y., S., Kim, J., Yang, W. Y. and Kang, C. G., 2011. MIMO-OFDM wireless communications with MATLAB. Singapore; Hoboken, Nj: IEEE Press

Choi, S., -J., Shim, S., -J., You, Y., -H., Cha, J. and Song, H., -K., 2019. Novel MIMO Detection with Improved Complexity for Near-ML Detection in MIMO-OFDM Systems. IEEE Access, vol. 7, pp. 60389–60398.

Deepak, K. Malarkodi, B. Sagar, K., 2015. NRZ encoded pilots for Semi Blind Channel estimation, 2nd International Conference on Electronics and Communication Systems (ICECS), pp.360-363.

Emad, F., Michael, I., Mona. Z. S., and Salwa E., 2017. Channel Estimation for MIMO-OFDM Systems Based on Data Nulling Superimposed Pilots. Proceeding of the 21st conference of fruct association.

Guerra, D. W., Fukuda, R. M., Kobayashi, R. T., and Abrão, T., 2018. Efficient Detectors for MIMO-OFDM Systems under Spatial Correlation Antenna Arrays. ETRI Journal, pp., 570–581.

Hampton, J. R., 2014. Introduction to MIMO communications. Cambridge, United Kingdom: Cambridge University Press.

Jain, R.,2007. Channel models: A tutorial, WiMAX Forum AATG.

Kahlon, R. K., Walia, G. S., Sheetal, A., 2015. Channel Estimation Techniques in MIMO-OFDM Systems – Review Article. International Journal of Advanced Research in Computer and Communication Engineering Vol. 4, Issue 5.

Liang, Y.-J. and Chang, J.-F., 2010. Noniterative Joint Frequency Offset

and Channel Estimation for MIMO OFDM Systems Using Cascaded

Orthogonal Pilots, IEEE Trans Veh Technol, vol. 59, no. 8, pp. 4151–

Scharf, L. L., 1991. Statistical signal processing detection, estimation, and time series analysis. university of colorado at boulder.

Thomas, A. and Nair, A. K., 2019. Null-subcarrier based channel estimation

and mutual interference reduction in MIMO OFDM systems. in Proc.

Int. Conf. Wireless Commun. Signal Process. Netw. (WiSPNET), Chennai,

India, pp. 275_278.

Zhang, L., Xiong, H. and Dai, X., 2018. A New Channel Estimation Algorithm for Fast Linear-Time-Varying Channel in MIMO-OFDM System. IEEE 18th International Conference on Communication Technology (ICCT), Chongqing.

GPP TS 36.104 version 14.3.0 Release 14, LTE; Base Station (BS) radio transmission and reception

Similar Articles

You may also start an advanced similarity search for this article.