基于串行和并行级联Turbo思想的均衡算法

An equalization algorithm based on serial and parallel concatenation Turbo-like method

利用Turbo码在两个信道译码器之间的迭代,能够得到更加精确的信道编码器输入数据比特的概率,从而代替在一般Turbo均衡器中对于该概率的独立等分布(IID)的假设.同时,通过分析这两个不同级联Turbo思想在该算法中的关系,得到算法的收敛特性,并合理确定两者相应的迭代次数.

More exact probability of channel encoder input data bits are obtained by utilizing turbo code, which is needed in a maximum a-posteriori probability （MAP） decoder, to replace the independent and identically distributed （IID） assmnption of this probability in general turbo equalization. From the relationship between the two Turbo-like methods, the convergence property of turbo codes in turbo equalization is investigated, and then the appropriate degrees of iteration in inner loop are determined based on certain iteration degree in outer loop.