The University of Southampton
University of Southampton Institutional Repository

Adaptive Noise Cancellation of Doppler Shifted Signals: A Linear Framework

Weiss, S and Stewart, R W (1996) Adaptive Noise Cancellation of Doppler Shifted Signals: A Linear Framework At 8th European Signal Processing Conference.

Record type: Conference or Workshop Item (Other)


In this paper we investigate the performance of single channel adaptive noise cancellation techniques for situations where the noise signal received by the two microphones cannot be related by a fixed weight canceller's (linear) digital filter due to Doppler shift on the two signals. A mathematical signal model is produced, which shows that the adaptive filter is in fact required to identify a time-varying system which incorporates Doppler shift, and potential rapid variations in signal power as the Doppler producing source passes the filter microphones. We present theory, simulated performance, and real world performance for both the least mean square (LMS) and normalised LMS (NLMS) when operating in a Doppler noise environment.

PDF weiss96c.pdf - Other
Download (229kB)
Postscript - Other
Download (229kB)

More information

Published date: September 1996
Additional Information: Organisation: EUSIPCO'96 Address: Trieste, Italy
Venue - Dates: 8th European Signal Processing Conference, 1996-09-01
Organisations: Electronics & Computer Science


Local EPrints ID: 251904
PURE UUID: 834d539b-e0d0-48ea-bd4a-74cea6b8b5d8

Catalogue record

Date deposited: 08 Nov 2000
Last modified: 18 Jul 2017 10:08

Export record


Author: S Weiss
Author: R W Stewart

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.