通信技术
通信技術
통신기술
COMMUNICATIONS TECHNOLOGY
2014年
3期
258-261
,共4页
最小均方算法%变步长%均方误差%计算复杂度%仿真
最小均方算法%變步長%均方誤差%計算複雜度%倣真
최소균방산법%변보장%균방오차%계산복잡도%방진
LMS(Least Mean Square) algorithm%variable step size%mean squared error%computational complexity%simulation
改进型的变步长LMS算法在有效抑制瞬时噪声对经典的变步长LMS算法影响的同时，也增加了算法的计算复杂度，提高了其硬件实现的难度。为降低变步长LMS算法的计算复杂度，提出了一种步长改变因子与前后两个时刻误差的乘积成正比的新的变步长LMS改进算法，在不增加计算复杂度的条件下，有效地抑制了瞬时噪声对迭代步长的影响。仿真结果表明，提出的算法和现有的变步长LMS算法收敛速度相当，但其稳态误差更小，计算复杂度也更低，有利于算法的硬件实现。
改進型的變步長LMS算法在有效抑製瞬時譟聲對經典的變步長LMS算法影響的同時，也增加瞭算法的計算複雜度，提高瞭其硬件實現的難度。為降低變步長LMS算法的計算複雜度，提齣瞭一種步長改變因子與前後兩箇時刻誤差的乘積成正比的新的變步長LMS改進算法，在不增加計算複雜度的條件下，有效地抑製瞭瞬時譟聲對迭代步長的影響。倣真結果錶明，提齣的算法和現有的變步長LMS算法收斂速度相噹，但其穩態誤差更小，計算複雜度也更低，有利于算法的硬件實現。
개진형적변보장LMS산법재유효억제순시조성대경전적변보장LMS산법영향적동시，야증가료산법적계산복잡도，제고료기경건실현적난도。위강저변보장LMS산법적계산복잡도，제출료일충보장개변인자여전후량개시각오차적승적성정비적신적변보장LMS개진산법，재불증가계산복잡도적조건하，유효지억제료순시조성대질대보장적영향。방진결과표명，제출적산법화현유적변보장LMS산법수렴속도상당，단기은태오차경소，계산복잡도야경저，유리우산법적경건실현。
Although the modified variable step size LMS algorithm can effectively suppress the instant noise interferences on the step size, its computational complexity is increased. Consequently, the difficulty for the hardware realization is increased. In order to reduce the complexity of the variable step size LMS algo-rithm, a novel modified variable step size algorithm with step variation proportional to the product of cur-rent error and previous error is proposed in this paper. The proposed algorithm can well restrain the instant noise interferences without increasing the computational complexity. The simulation results indicate that compared with the existing variable step size of LMS algorithms, the convergence speed of the proposed al-gorithm is about the same, but its steady-state error is much smaller. Meanwhile, its computational com-plexity is lower, and favorable to hardware realization.
