一种新的非线性预编码算法

A New Nonlinear Precoding Algorithm

为解决传统模代数预编码算法在信道条件不好时误码率高的问题,提出了将格点减少技术与模代数算法相结合的新的非线性预编码算法.该算法利用格点减少技术对实际信道矩阵进行正交处理,以提升系统的整体误码性能及保证用户间的公平性.仿真结果表明,该算法能够明显地改善系统的误码性能,且随着信噪比的提高,该算法的性能也逐渐提升.

A novel nonlinear algorithm combined with lattice reduction technique and traditional tomlinson-harashima precoding（THP） algorithm is proposed in this paper,which intends to solve the problem of high bit error rate（BER） from traditional THP algorithm when the channel is in bad condition.The multiple-input multiple-output（MIMO） practical channel matrix can be transformed orthogonally by using the lattice reduction technique.As a result,the system BER could be improved and the user fairness could be ensured as well.Simulation result shows that two particular proposed algorithms can significantly improve the BER performance of the MIMO system.As the signal-to-noise ratio increases gradually,the system performance would be better and better.