用于多小区联合检测的高精度信道估计算法

High accuracy channel estimation algorithms for multi-cell joint detection

现有TD-SCDMA系统中的信道估计算法扩展到多小区信道估计时,由于对邻区信道估计精度低,严重影响多小区联合检测算法的性能。先分析传统信道估计算法应用于多小区信道估计时性能下降的原因,然后通过改变信道估计矩阵的结构分别提出了基于匹配滤波、最小均方误差及两者结合的3种适用于多小区联合检测的信道估计算法,进而对不同信道估计算法的估计精度进行了分析。仿真结果表明:3种新的信道估计算法均比传统的Steiner算法估计精度更高,并能有效地提升多小区联合检测下TD-SCDMA系统的性能。

The conventional channel estimation algorithm used in the current TD-SCDMA system can not be expanded to ,multi-cell joint detection for its low channel estimation accuracy for adjacent cells. Firstly the conventional channel estimator was introduced and the reasons for the performance degradation when extended to multi-cell channel estimation were analyzed. Then three high accuracy multi-cell channel estimation algorithms were proposed for multi-cell joint detection by changing the structure of the channel estimation matrix, based on matched filter （MF）, minimum mean square error （MMSE）, and a combination of both. Simulation results prove that all of the three newly proposed algorithms have higher accuracy than conventional Steiner channel estimation and thus can improve the performance of the multi-cell joint detection of TD-SCDMA system.