Comparative evaluation of the dual transform domain echo canceller for DMT-based systems

In DMT-based communication systems where full-duplex transmission is required, digital echo cancellers are employed to cancel echo by means of adaptive filters. In order to reduce the computational complexity of these cancellers, the structure of the Toeplitz matrix containing the transmitted signal is usually exploited to transform the time domain signals and perform the emulation and adaptive update in a more convenient domain (e.g. frequency domain). In this paper, we consider a recently proposed dual transform domain echo canceller, which is based on the general decomposition of the data Toeplitz matrix. A comprehensive comparative performance evaluation of the proposed method with the existing methods is provided. This evaluation includes the comparison of the convergence curves and computational cost of the algorithms. The comparison shows that the proposed canceller achieves a faster convergence with a low error floor with no increase in the complexity.