Title :
Noise Power Estimation in SC-FDMA Systems
Author :
Yinsheng Liu ; Li, Geoffrey Ye ; Zhenhui Tan ; Hongjie Hu
Author_Institution :
State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
Abstract :
This article addresses the problem of noise power estimation for single-carrier frequency-division-multiple-access (SC-FDMA), which is used in long-term evolution (LTE). If channels are known, signal-to-noise ratio (SNR) can be derived from the noise power. A maximum-likelihood (ML) estimator is first derived to obtain a temporal noise power and then a minimum-variance unbiased (MVU) estimator is adopted to obtain an average noise power over the time-frequency plane. Since there is no analytical solution for the MVU estimator, an iterative approach based on fixed-point iteration (FPI) is employed to solve MVU estimation.
Keywords :
Long Term Evolution; frequency division multiple access; iterative methods; maximum likelihood estimation; time-frequency analysis; FPI approach; LTE; Long-Term Evolution; ML estimator; MVU estimation; MVU estimator; SC-FDMA system; SNR; fixed-point iteration approach; maximum-likelihood estimator; minimum-variance unbiased estimator; noise power estimation; signal-to-noise ratio; single-carrier frequency-division-multiple-access system; time-frequency analysis; Channel estimation; Maximum likelihood estimation; OFDM; Signal to noise ratio; Wireless communication; FPI; FPI.; ML; MVU; SC-FDMA; SNR; noise power estimation;
Journal_Title :
Wireless Communications Letters, IEEE
DOI :
10.1109/LWC.2015.2399393
