Jointly Iterative Maximum-Likelihood Estimation and Decoding for Space-Time Trellis Coding
空时网格码的联合迭代最大似然估计和译码

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.