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CONVERGENCE PROPERTIES of TRANSPOSE-FORM LMS ADAPTIVE ALGORITHM

机译:转置形式LMS自适应算法的收敛性

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The transpose-form LMS(TLMS)algorithm is ideal for high-speed,parallel realization of FIR adaptive filter,this algorithm has recently been exploited in the design of equalizer for high bit-rate QAM digital radio modems [1].This paper analyzed the condition for the step size to guarantee the convergence of the mean squared error(MSE)of the TLMS algorithm.Gompared with the existing convergence bound for TLMS algoritha,the condition derived in this paper is more useful in practical application.Computer simulation results are given to verify the conclusions obtained in this paper.
机译:转置形式LMS(TLMS)算法非常适用于FIR自适应滤波器的高速,平行实现,最近在高比特率QAM数字无线电调制解调器的均衡器设计中被利用了该算法[1]。本文分析步骤尺寸的条件保证TLMS算法的平均平方误差(MSE)的收敛。与TLM算法的现有收敛界限相结合,本文导出的条件在实际应用中更有用的是鉴定了本文获得的结论。

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