Efficient MIMO sparse channel estimation using LTE sounding reference signal

In order to make full use of various LTE MIMO transmission modes, we aim for a feasible MIMO channel estimation scheme with high accuracy and low complexity. Exploiting the sounding reference signal and channel sparsity, an efficient MIMO channel estimation algorithm is derived in terms of both the maximum likelihood estimation and minimum description length criterion for tap selection. The scheme exhibits excellent performance for sparser channel. Furthermore, its complexity is quite low due to the use of FFT and power sorting. Simulation and real-world experimental results of a 2×2 MIMO system are demonstrated to confirm the above merits.