article · IEEE Transactions on Communications · 1993
A soft decision-directed LMS algorithm for blind equalization
Steven J. Nowlan, Geoffrey E. Hinton
Cited by 72Abstract and details only
Abstract
An adaptation algorithm for equalizers operating on very distorted channels is presented. The algorithm is based on the idea of adjusting the equalizer tap gains to maximize the likelihood that the equalizer outputs would be generated by a mixture of two Gaussians with known means. The decision-directed least-mean-square algorithm is shown to be an approximation to maximizing the likelihood that the equalizer outputs come from such an independently and identically distributed source. The algorithm is developed in the context of a binary pulse-amplitude-modulation channel, and simulations demonstrate that the algorithm converges in channels for which the decision-directed LMS algorithms does not converge.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite this paper
Nowlan, S. J., & Hinton, G. E. (1993). A soft decision-directed LMS algorithm for blind equalization. IEEE Transactions on Communications, 41(2), 275–279. https://doi.org/10.1109/26.216497
Nowlan, Steven J., and Geoffrey E. Hinton. “A soft decision-directed LMS algorithm for blind equalization.” IEEE Transactions on Communications, vol. 41, no. 2, 1993, pp. 275–79, https://doi.org/10.1109/26.216497.
Nowlan, Steven J., and Geoffrey E. Hinton. 1993. “A soft decision-directed LMS algorithm for blind equalization.” IEEE Transactions on Communications 41 (2): 275–79. https://doi.org/10.1109/26.216497.
Nowlan, S.J. and Hinton, G.E. (1993) ‘A soft decision-directed LMS algorithm for blind equalization’, IEEE Transactions on Communications, 41(2), pp. 275–279. Available at: https://doi.org/10.1109/26.216497.
@article{nowlan1993soft,
title = {{A soft decision-directed LMS algorithm for blind equalization}},
author = {Nowlan, Steven J. and Hinton, Geoffrey E.},
journal = {IEEE Transactions on Communications},
volume = {41},
number = {2},
pages = {275--279},
year = {1993},
doi = {10.1109/26.216497}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.