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针对基于导频的信道估计开销问题和盲信道估计的复杂性问题,提出了一种基于线性预测的多输入多输出系统的半盲信道估计算法.该算法在结合基于导频和盲信道估计方法的基础上,将线性预测技术扩展到信道估计算法中,通过解循环卷积的方法对信道的相关矩阵进行估计,同时给出了权值因子的选择公式.该算法不仅具有较小开销和较高的频谱效率,而且达到了改善信道估计精度、提高系统性能的目的.仿真结果表明:该算法在相同条件下对多输入多输出下行链路的误比特率性能有1 dB左右的改善,对信道估计的均方误差有1~3 dB的改善.
Aiming at the complexity of pilot-based channel estimation overhead and blind channel estimation, a semi-blind channel estimation algorithm based on linear prediction in multiple-input multiple-output system is proposed.This algorithm combines the pilot-based blind channel estimation , The linear prediction technique is extended to the channel estimation algorithm, and the correlation matrix of the channel is estimated by solving the cyclic convolution method, and the selection formula of the weighting factor is given. This algorithm not only has less overhead and more High spectral efficiency and achieve the purpose of improving the channel estimation accuracy and improving the system performance.The simulation results show that the proposed algorithm has an improvement of about 1 dB to the bit error rate performance of multiple-input multiple-output downlink under the same conditions, The mean square error of channel estimation is improved by 1 ~ 3 dB.