Advantages of multiple estimation in the frequency-selective block fading MIMO environments

  • Hamid Nooralizadeh Islamshahr Branch, Islamic Azad University
Keywords: Frequency selective fading, Multiple estimation, Multiple-input multiple-output, Least squares, Shifted scaled least squares, Minimum mean square error

Abstract

The performance of the multiple-estimation (ME) is examined in multiple-input multiple-output (MIMO) frequency-selective fading channels. The least squares (LS) technique, the shifted scaled least squares (SSLS) estimator, and the minimum mean square error (MMSE) estimator are probed in this paper. In the uniform and non-uniform power allocation, the closed form equations are obtained for total mean square error (TMSE) of the estimators. Analytical and numerical results show that the LS estimator has lower error in the case of ME than single-estimation (SE). Moreover, it is seen that the performance of SSLS and MMSE channel estimators in the ME case is better than SE particularly at high signal to noise ratios (SNRs). It is shown that for small numbers of sub-blocks used for channel estimation, the SSLS and MMSE channel estimators are better than LS. For large numbers of sub-blocks, inversely, the LS channel estimator is better than SSLS and MMSE. The un-equal power allocation is also examined analytically and numerically. Simulation results show that exponential power allocation is proper for SSLS channel estimator in ME case.  

Author Biography

Hamid Nooralizadeh, Islamshahr Branch, Islamic Azad University
Hamid Nooralizadeh was born in Sarab, Iran, on 10 May, 1968. He received the B.S. degree in communications engineering from Tehran Science and Industry University, Tehran, Iran, in 1992 and the M.S. degree in communications engineering from Tehran South Branch, Islamic Azad University, Tehran, Iran, in 1996. In September 1999, he joined the Department of Electrical and Electronics Engineering, Tehran South Branch, Islamic Azad University, as a Faculty member. In 2005, he also joined the Department of Electrical Engineering, Tehran Science and Research Branch, Islamic Azad University, as a Ph.D. student. In October 2006, he joined the Department of Electrical and Electronics Engineering, Islamshahr-Tehran Branch, Islamic Azad University, as a Faculty member. He received the Ph.D. degree in communications engineering from Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran, in 2010. His research interests include channel estimation, MIMO, signal processing, and wireless communications.
Published
2015-09-30
How to Cite
Nooralizadeh, H. (2015). Advantages of multiple estimation in the frequency-selective block fading MIMO environments. Majlesi Journal of Electrical Engineering, 9(3), 17-30. Retrieved from http://mjee.org/index/index.php/ee/article/view/1682
Section
Articles