Title :
SNR estimation based on sounding reference signal in LTE uplink
Author :
Hao Tian ; Lin Yang ; Shaoqian Li
Author_Institution :
Nat. Key Lab. of Sci. & Technol. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
In this paper, a novel SNR estimation algorithm based on the sounding reference signal (SRS) is proposed. By redefining the noise estimation range and time-domain windowing operation to the channel estimation vector, the influence of signal leakage is effectively reduced which makes the noise estimation is more accurate. Simulation results show that the proposed estimator performs both well in the integer sampling channel and non-integer sampling channel, and the performance is better than Boumard´s algorithm and the original IFFT based algorithm, especially in high SNR regions.
Keywords :
Long Term Evolution; channel estimation; discrete Fourier transforms; least squares approximations; signal processing; LTE uplink; SNR estimation; channel estimation; noise estimation; noninteger sampling channel; signal leakage; signal-to-noise ratio estimation; sounding reference signal; time-domain windowing; Channel estimation; Discrete Fourier transforms; Estimation; Frequency-domain analysis; OFDM; Signal to noise ratio; Long Term Evolution (LTE); noise estimation; signal-to-noise ratio (SNR) estimation; sounding reference signal;
Conference_Titel :
Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on
Conference_Location :
KunMing
DOI :
10.1109/ICSPCC.2013.6664058