SNR Estimation Algorithm Based on Sounding Reference Signal in LTE

To support frequency selective scheduling in uplink, Long Term Evolution (LTE) system defines the Sounding Reference Signal (SRS) for channel quality estimation. This paper focuses on the Signal-to-Noise Ratio (SNR) estimation of the SRS. In order to deal with the shortcomings of Boumards method and the traditional DFT method, an improved estimation method based on DFT is proposed. This method reduces the energy leakages influence of useful signal on high SNR by correcting the noise estimated interval in time domain, thus more accurate SNR estimation can be obtained. Simulation results show that the estimated performance of the proposed method is better than Boumards method and traditional DFT method, and the average performance achieves an improvement of over 6 dB in high SNR area.