Full-duplex fast initializing digital subscriber loop echo cancellers

In this paper, we propose a novel approach to fast initializing digital subscriber loop (DLS) echo cancellers using full-duplex transmitted training sequences. The important difference between our method and the previous half-duplex fast training schemes is that we can simultaneously estimate the impulse responses of the echo paths of both ends rather than estimate them separately. Therefore, the initialization time is greatly reduced. The effects of the noise and symbol rate offset between two ends are examined in terms of both mean-square error (MSE) and signal to noise ratio (SNR), and the results show that the new algorithm is robust in the presence of noise and symbol rate offset