Splitting the Least-Mean-Square Algorithm

Summary, in English

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: Thomas Magesacher; Per Ödling; Per Ola Börjesson; T Nordström
• Department/s: Department of Electrical and Information Technology
• Publishing year: 2002
• Language: English
• Publication/Series: Proceedings of the 5th Nordic Signal Processing Symposium
• Document type: Conference paper
• Topic: Electrical Engineering, Electronic Engineering, Information Engineering
• Conference name: NORSIG-2002
• Conference date: 2002-10-04 - 2002-10-07
• Conference place: On board Hurtigruten from Tromsö to Trondheim, Norway
• Status: Published