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Splitting the Least-Mean-Square Algorithm

Magesacher, Thomas LU ; Ödling, Per LU ; Börjesson, Per Ola LU and Nordström, T (2002) NORSIG-2002
Abstract
The least-mean-square (LMS) algorithm is an adaptation scheme widely used in practice due to its simplicity. In some applications the involved signals are continuous-time. Then, usually either a fully analog implementation of the LMS algorithm is applied or the input data are sampled by analog-to-digital (AD) converters to be processed digitally. A purely digital realization is most often the preferred choice, however, it becomes costly for high-frequency input signals since fast AD converters are needed. In this paper we propose a hybrid analog/digital approach allowing the AD conversion rate to be as low as the update-rate of the LMS algorithm. We demonstrate the advantage of this approach applying it to an interference cancellation... (More)
The least-mean-square (LMS) algorithm is an adaptation scheme widely used in practice due to its simplicity. In some applications the involved signals are continuous-time. Then, usually either a fully analog implementation of the LMS algorithm is applied or the input data are sampled by analog-to-digital (AD) converters to be processed digitally. A purely digital realization is most often the preferred choice, however, it becomes costly for high-frequency input signals since fast AD converters are needed. In this paper we propose a hybrid analog/digital approach allowing the AD conversion rate to be as low as the update-rate of the LMS algorithm. We demonstrate the advantage of this approach applying it to an interference cancellation problem occurring in wireline communications: the sampling rate of the AD converters is reduced by a factor of 250. (Less)
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author
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organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Proceedings of the 5th Nordic Signal Processing Symposium
conference name
NORSIG-2002
conference location
On board Hurtigruten from Tromsö to Trondheim, Norway
conference dates
2002-10-04 - 2002-10-07
language
English
LU publication?
yes
id
1690e0db-93c5-44e7-abe9-a3af337df2cb (old id 603577)
date added to LUP
2016-04-04 13:51:10
date last changed
2025-04-04 15:01:58
@inproceedings{1690e0db-93c5-44e7-abe9-a3af337df2cb,
  abstract     = {{The least-mean-square (LMS) algorithm is an adaptation scheme widely used in practice due to its simplicity. In some applications the involved signals are continuous-time. Then, usually either a fully analog implementation of the LMS algorithm is applied or the input data are sampled by analog-to-digital (AD) converters to be processed digitally. A purely digital realization is most often the preferred choice, however, it becomes costly for high-frequency input signals since fast AD converters are needed. In this paper we propose a hybrid analog/digital approach allowing the AD conversion rate to be as low as the update-rate of the LMS algorithm. We demonstrate the advantage of this approach applying it to an interference cancellation problem occurring in wireline communications: the sampling rate of the AD converters is reduced by a factor of 250.}},
  author       = {{Magesacher, Thomas and Ödling, Per and Börjesson, Per Ola and Nordström, T}},
  booktitle    = {{Proceedings of the 5th Nordic Signal Processing Symposium}},
  language     = {{eng}},
  title        = {{Splitting the Least-Mean-Square Algorithm}},
  year         = {{2002}},
}