抽头长度对LMS自适应回波消除器性能的影响

N. Alwan
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引用次数: 2

摘要

同时数据传输在两个方向(全双工)在双线电路可以实现使用双线到四线混合耦合器。由于混合隔离不完善,传输信号通过近端混合(近端回波)泄漏,传输信号被远端混合(远端回波)反射到自己的接收机中,会极大地影响对另一端数据的正确检测。因此,使用自适应回波消除器来消除这种影响,使用有限脉冲响应(FIR)自适应数字滤波器,为了消除远端回波,系数的数量必须相当大。本文对包含复合回波效应的数据传输系统进行了仿真,推导出了残馀回波功率的表达式,由此推导出了特定回波路径下自适应回波抵消器长度与残馀回波功率的关系。当自适应回波抵消器长度小于实际回波路径长度时,除了远端信号加上通信信道加性噪声导致的信号无法抵消外,剩余回波功率由两个分量组成。第一个分量表示另一个不可抵消的信号,这是由自适应滤波器未建模的回波路径脉冲响应中的截断项产生的,因此显示为附加误差。第二分量是由于采用最小均方(LMS)自适应算法收敛时回波路径脉冲响应与自适应抵消系数不匹配造成的。后一分量受LMS步长、自适应滤波器长度以及上述不可抵消信号功率的影响。仿真结果与理论结果吻合较好。一般来说,当抽头长度减小时,LMS步长可以更自由地设置,以实现快速收敛,而残余回波功率几乎没有明显的增加
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Effect of Tap Length on LMS Adaptive Echo Canceller Performance
Simultaneous data transmission in both directions (full-duplex) over two-wired circuits can be achieved using two-wire to four-wire hybrid couplers. Transmission signal leakage through the near-end hybrid (near-end echo) and transmission signal reflection by the far-end hybrid (far-end echo) ending up in its own receiver due to imperfect hybrid isolation can greatly affect the correct detection of data from the other end. Adaptive echo cancellers are therefore used to nullify this effect using a finite impulse response (FIR) adaptive digital filter for which the number of coefficients must be quite large in order to cancel the far-end echo. In this paper, the data transmission system comprising the combined echo effect is simulated and an expression for the residual echo power is derived from which the relationship between adaptive echo canceller length and residual echo power can be deduced for a specified echo path. Apart from the uncancellable signal due to the far-end signal plus communication channel additive noise, the residual echo power is found to be made up of two components when the adaptive echo canceller length is smaller than that of the actual echo path. The first component represents another uncancellable signal resulting from the truncated terms in the echo path impulse response that are not modeled by the adaptive filter and therefore appear as additional error. The second component results from mismatch between the echo path impulse response and the adaptive canceller coefficients upon convergence due to using the least mean square (LMS) adaptation algorithm. This latter component is influenced by the LMS step size, the length of the adaptive filter and by both the afore-mentioned uncancellable signal powers. Simulation results were found to support the theoretical findings quite accurately. It is also found that, in general, when the tap length is reduced, the LMS step size can be more freely set for fast convergence with little perceptible increase in residual echo power
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