Performance of multi-path MIMO channel estimation based on ZCZ training sequences

In order to effectively reduce the mutual interference among different transmitting antennas in multiple-antenna communication systems, accurate and effective channel estimation is important. In this paper, a general multi-path MIMO channel model is considered, and a closed-form estimation variance as a function of sequence length, family size and zero correlation zone (ZCZ) is derived for MIMO systems employing ZCZ training sequences. The performance of the least squares (LS) and a scaled LS (SLS) approaches to the channel estimation are investigated. Analysis and simulation results show mat the ZCZ training sequence set outperforms other training sequence sets, and the SLS method performs better than LS method at low SNR in contrast to the high SNR