An improved noise estimation algorithm of SC-FDMA

Abstract

To improve the performance of Single Carrier Frequency Division Multiple Access (SC-FDMA) system, a simple and effective noise estimation algorithm based on Sounding Reference Signal (SRS) is necessary. An improved noise estimation algorithm based on Discrete Fourier transform (DFT) is proposed for the disadvantage of the traditional DFT. In addition, the influence of signal leakage is effectively reduced by time-domain Hamming windowing operation to the improved noise estimation algorithm based on DFT. Simulation results show that the improved noise estimation algorithm based on DFT has an improvement of 4 dB compared with the traditional algorithm in low Signal-to-Noise Ratio (SNR) regions. Hamming windowing operation can effectively correct the disadvantage of the improved noise estimation algorithm based on DFT which has bad performance to get an improvement of 4 dB at least in high SNR regions.