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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.

In the LTE uplink, Single Carrier Frequency Division Multiple Access (SC-FDMA) is adopted as its multiple access scheme. The Channel Estimation (CE) is one of the key technologies in mobile communication system. According to the latest LTE criterion, the pilot-aided CE algorithms of SC-FDMA are researched in this paper. Our research mainly discusses Least-Square (LS), the traditional LS based on Discrete Fourier transform (DFT) and the improved LS based on DFT. Finally, theoretical analysis and simulation result show that: The improved LS based on DFT has more superior estimation performance than the traditional LS based on DFT while it increases the computational complexity in the low SNR.