一种空时分组码最大似然检测的迭代算法

Iterative algorithm for ML detection for space-time block codes

为了探讨某一类型空时码的最大似然检测的迭代算法。给出了这类码基于冗余线性预编码的通用构架,包括许多空时码算法示例。用这些码的特殊线性结构导了出在估计参数和检测发送数据组中字符之间进行迭代处理的ML准则迭代算法。结果表明,两步迭代大大改善系统的SER性能,但进一步的迭代不能再提高性能。

An iterative algorithm is discussed for maximum likelihood (ML) detection of a certain class of space-time codes (STCs). A general framework for STCs that encompasses some recently proposed STC schemes as special cases is presented. Their special linear structure is exploited to obtain iterative ML decoding algorithm, which iterates between estimating parameters and detecting the symbols in the transmitted block data. Simulations show that improvement mainly comes from two iterations. However further iterations cannot improve the performance further.