Title :
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
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;
Conference_Titel :
Information Science and Technology (ICIST), 2014 4th IEEE International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/ICIST.2014.6920573
