The channel estimation algorithm which has excellent performance is necessary for Single Carrier Frequency Division Multiple Access (SC-FDMA) system. The traditional Least Square (LS) algorithm and Linear Minimum Mean-Square (LMMSE) algorithm exist many problems. The problem of the LMMSE algorithm which is too complex is found to be applied effectively by researching LMMSE algorithm. The traditional LMMSE algorithm can be improved with the help of Jacobi iterative algorithm for solving linear equations. Meantime, theoretical analysis and simulation results indicate that: The improved LMMSE algorithm has more superior performance at low SNR, it not only can reduce the computational complexity, but also has more precise estimation result.
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.
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