J. Balakrishnan, R.K. Martin, and C.R. Johnson, Jr.
To appear in IEEE Signal Processing, first quarter 2004.
We propose a new blind, adaptive channel shortening algorithm for updating the coefficients of a time-domain equalizer in a system employing multicarrier modulation. The technique attempts to minimize the sum-squared auto-correlation terms of the effective channel impulse response outside a window of desired length. The proposed algorithm, ``Sum-squared Auto-correlation Minimization" (SAM), requires the source sequence to be zero-mean, white and wide-sense stationary, and it is implemented as a stochastic gradient descent algorithm. Simulation results have been provided, demonstrating the success of the SAM algorithm in an ADSL system.