A low-complexity SNR estimation algorithm and channel estimation method for OFDM systems

Author

Pei He ; Zhixin Li ; Xuan Wang

Author_Institution

Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China

fYear

2014

fDate

26-28 April 2014

Firstpage

698

Lastpage

701

Abstract

This paper proposes a novel signal-to-noise ratio (SNR) estimation algorithm for orthogonal frequency division multiplexing (OFDM) systems in the doubly selective channels by inserting special preambles. The noise variance is estimated by one preamble symbol in time domain. Besides, the estimated noise variance can be utilized as initial noise power for iterative linear minimum mean square error (LMMSE) channel estimation. Simulation results show that this new algorithm is insensitive to the Doppler frequency and is robust in large Doppler frequency environments, and has a lower computational complexity than other methods.

Keywords

OFDM modulation; channel estimation; computational complexity; iterative methods; mean square error methods; time-domain analysis; Doppler frequency; LMMSE; OFDM systems; channel estimation; computational complexity; doubly selective channels; estimated noise variance; iterative linear minimum mean square error; low-complexity SNR estimation; noise power; orthogonal frequency division multiplexing; preamble symbol; signal-to-noise ratio; time domain; Channel estimation; Complexity theory; Estimation; Iterative methods; OFDM; Signal to noise ratio; OFDM; SNR estimation; channel estimation; preamble;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Technology (ICIST), 2014 4th IEEE International Conference on

Conference_Location

Shenzhen

Type

conf

DOI

10.1109/ICIST.2014.6920573

Filename

6920573