Splitting the Least-Mean-Square Algorithm

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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.

Detaljer

Författare
Enheter & grupper
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Elektroteknik och elektronik
Originalspråkengelska
Titel på värdpublikationProceedings of the 5th Nordic Signal Processing Symposium
StatusPublished - 2002
PublikationskategoriForskning
Peer review utfördJa
EvenemangNORSIG-2002 - On board Hurtigruten from Tromsö to Trondheim, Norge
Varaktighet: 2002 okt 42002 okt 7

Konferens

KonferensNORSIG-2002
LandNorge
OrtOn board Hurtigruten from Tromsö to Trondheim
Period2002/10/042002/10/07