A Non-Iterative Channel Estimation Algorthm for Mobile MIMO-OFDM Systems with Comb-Type Pilots

Author

Lavafi, Reihaneh ; Abolhassani, Bahman

Author_Institution

Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran

fYear

2007

fDate

24-27 Nov. 2007

Firstpage

380

Lastpage

383

Abstract

In this paper, a non-iterative least square (LS) channel estimation algorithm is proposed for mobile multiple input, multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. Recent discrete Fourier transform (DFT) based algorithms reduce additive white Gaussian noise (AWGN) and inter-channel interference (ICI) iteratively through low-pass filtering. The proposed algorithm compensates the phase shift which is formed by allocation of antenna pilot sub-carriers except those of the first antenna, then by eliminating the iteration and keeping satisfactory performance, reduces complexity considerably. The simulation results show that the proposed algorithm slightly outperforms the iterative algorithm in addition to complexity reduction by eliminating iterations.

Keywords

AWGN; MIMO communication; OFDM modulation; adjacent channel interference; channel estimation; discrete Fourier transforms; least squares approximations; low-pass filters; mobile radio; additive white Gaussian noise; comb type pilots; discrete Fourier transform; inter channel interference; low-pass filtering; mobile MIMO-OFDM systems; non iterative channel estimation; non iterative least square; AWGN; Additive white noise; Channel estimation; Discrete Fourier transforms; Filtering algorithms; Interchannel interference; Iterative algorithms; Least squares approximation; MIMO; OFDM; Channel estimation; LS; MIMO-OFDM; non-Iterative;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on

Conference_Location

Dubai

Print_ISBN

978-1-4244-1235-8

Electronic_ISBN

978-1-4244-1236-5

Type

conf

DOI

10.1109/ICSPC.2007.4728335

Filename

4728335