部分更新块LMS均衡算法分析及应用

Analysis of equalization algorithm using partial update block LMS structure and its application

采用部分更新最小均方(LMS)算法和重叠保留的块信号频域处理结构,针对现场可编程门阵列(FPGA)的硬件实现平台,提出了时频混合部分更新块LMS和周期性块部分更新LMS均衡算法结构。2种新结构均能有效降低均衡算法的实现复杂度。步长收敛条件分析和数值仿真结果表明,新结构能够在适当调整更新步长的情况下,有效跟踪缓变信道的变化,实现与完整块LMS算法相当的性能,能够有效解决高速数据传输中的均衡复杂度过高的问题。

By-adopting-partial-update-Least-Mean-Square(LMS)-algorithm-and-block-processing-structure-featured-with-over-lapping-and-saving-frequency-domain,-a-hybrid-time-frequency-partial-update-block-LMS-equalization-structure-and-periodic-block-partial-update-LMS-equalization-structure-are-proposed-for-the-Field-Programmable-Gate-Array(FPGA)-platform.-Both-the-two-new-structures-can-effectively-reduce-the-equalization-computational-complexity.-Analysis-of-convergence-condition-of-step-size-and-numerical-simulation-results-show-that-the-new-structures-can-effectively-track-the-slowly-time-varying-channels-with-proper-adjustment-of-the-step-size-and-achieve-comparable-performance-as-the-complete-block-LMS-algorithm;-and-the-problem-of-high-computational-complexity-equalizer-in-high-speed-communication-could-be-effectively-solved.