高速突发传输中的均衡算法

Research on Equalization in High Symbol Rate Burst Transmission

通过对几种常用均衡算法的比较,确定高速突发传输中使用收敛速度较快、运算量较小的VLMS均衡算法。为降低高速突发信号中的训练序列开销,提高传输效率,提出了一种新的混合结构均衡方案。新方案充分利用数据辅助均衡与盲均衡的各自特点,将均衡过程分成两个阶段,数据辅助均衡阶段为盲均衡阶段提供一个足够精确的初始值,引导盲均衡实现快速收敛。仿真结果表明,该混合结构均衡方案能利用短训练序列实现收敛,而且能达到较好的性能。

The variable step-size LMS algorithm with higher convergence rate and less computation is confirmed to be employed in high symbol rate transmission by comparing several equalization algorithms.And a new hybrid equalization scheme is proposed to reduce the training sequence overhead in the high symbol rate signal and improve the transmission efficiency further.In the new hybrid scheme combining well the characteristics of the data-aided equalization and the blind equalization,the equalization process is divided into two phases,and the data-aided equalization phase is required to provide an initial vector precise enough,which guides the blind equalization phase to get to the point of convergence.The simulation results show that the hybrid equalization scheme can reach convergence and work well with shorter training sequence in use.