空时网格码的联合迭代最大似然估计和译码

Jointly Iterative Maximum-Likelihood Estimation and Decoding for Space-Time Trellis Coding

该文提出了一种适合空时网格码的联合迭代最大似然估计和译码的方法,利用较少的导频,能够获得比传统非迭代最大似然译码更好的系统性能,仿真结果显示经过4次迭代,其性能与接收机已知理想信道信息下的最大似然译码比较只有不到1dB的损失,最后根据仿真结果给出一个导频数目和迭代次数的合理选择。

In the paper, a jointly iterative maximum-likelihood channel estimation and decoding method is proposed for space-time trellis coding. By utilizing few of pilots, it can achieve better performance than the conventional non-iterative maximum-likelihood decoding. Simulation results show that the iterative method with 4 iterations has less than ldB loss compared to the maximum-likelihood decoding with ideal channel state information. Finally, according to the simulation results, the method also gives a reasonable choice of both the steps of iterations and the amount of pilots.