基于最小均方误差和准则的块式数据检测技术

The block data detection technique based on the least sum of squared errors criterion

基于最小均方误差和准则的块式数据检测技术，是一种对时变色散信道数字信号进行有效检测的方法．该技术利用数据块中的已知训练符号对信道特性进行跟踪并对未知数据进行检测．采用简化的Ｃｈｏｌｅｓｋｙ矩阵分解算法，可减少系统复杂度和运算量．研究结果表明：该方案能有效地消除高频信道上的码间串扰，更适用于高频数字通信系统中的信号检测．

The block data detection technique based on the least sum of squared errors criterion is an effective scheme used for time varying dispersive channels. In this scheme, the known training symbols are used to track the channel characteristics and to detect the unknown data symbols. The adoption of an algorithm of a simplified Cholesky matrix resolution may reduce the complexity and operation. The results obtained indicates that this scheme may effectively eliminate the intersymbol interference in the HF channels and it can be applied to the signal detection in the HF digital communication systems.