DCT-based channel estimation algorithm using wavelet denoising for LTE uplink systems

Discrete cosine transform (DCT)-based channel estimator has the capacity to cope with aliasing error caused by discrete fourier transform (DFT)-based method. Nonetheless, the noise within the considered channel taps will degrade the performance of this algorithm. In this paper, a new DCT-based channel estimation algorithm using wavelet denoising technology in LTE uplink systems is proposed. Wavelet denoising is employed for channel frequency response accuracy improvement before DCT, and most significant taps method is applied to reduce the impact of noise on DCT. Computer simulations verify that the proposed algorithm can achieve bit error rate (BER) benefits and reduce mean square error (MSE) performance as compared with the conventional estimators.