一种基于最小均方误差准则的联合多小区信道估计算法

信道估计的准确程度直接影响到联合检测算法的性能。传统的信道估计算法将其他小区用户的信号均作为白噪声来处理，因此影响了信道估计的准确性。该文提出基于最小均方误差准则的联合多小区信道估计算法，由于改变了信道估计矩阵的结构，将邻小区强干扰用户也作为可以检测的用户信号来处理，降低了信道估计中噪声功率。该算法不仅适用于多小区联合检测，也可用于单小区联合检测。与传统的Steiner信道估计算法相比，新算法在存在邻小区同频干扰的情况下，能够很大程度提高信道估计的精度，进而大幅提升TD-SCDMA系统的性能。

A Joint Multi-cell Channel Estimation Algorithm Based on Minimum Mean Square Error Approach

The performance of joint detection depends highly on the accuracy of channel estimation. In an intra-frequency network,inter-cell interfering signals are treated as white noise in conventional channel estimators,which degrades the accuracy of channel estimation. In this paper,a Minimum Mean Square Error(MMSE) based joint multi-cell channel estimation algorithm is proposed. By including the strong interfering users of adjacent cells into the channel estimation matrix,the noise power is significantly reduced which guarantees more precise channel estimation. The newly proposed algorithm can be applied to both multi-cell joint detection and single cell joint detection. Compared with conventional Steiner channel estimation,the proposed algorithm shows much higher estimation accuracy and then greatly improves the performance of the TD-SCDMA system.