A novel channel estimation algorithm for 3GPP LTE downlink system using joint time-frequency two-dimensional iterative Wiener filter

The channel estimation algorithms are employed in 3GPP Long Term Evolution (LTE) downlink system to assist the coherent demodulation of Orthogonal Frequency Division Multiplexing (OFDM) symbols. Based on the comparison of several exiting different channel estimation algorithms, we propose a joint time-frequency two-dimensional iterative Wiener filter (IWF) channel estimation algorithm for 3GPP LTE downlink system. In this scheme, we first apply the linear minimum mean square error (LMMSE) algorithm based on singular value decomposition (SVD) for IWF in frequency domain, and then the values after the first filtering in frequency domain are used to achieve the second IWF in time domain. Comparing to the conventional algorithms, the channel estimation algorithm proposed by this paper brings up lower bit error rate (BER) and adds little computational complexity.