Blind Channel Shortening for Block Transmission of Correlated Signals
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
IEEE Transactions on Signal Processing
Time domain equalizer design using bit error rate minimization for UWB systems
EURASIP Journal on Wireless Communications and Networking
A convex optimization approach to blind channel shortening in multicarrier modulations
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A convex optimization approach to blind channel shortening in multicarrier modulations
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Superimposed training for channel shortening equalization in OFDM
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
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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, known as "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 are provided, demonstrating the success of the SAM algorithm in an asymmetric digital subscriber loop (ADSL) system.