Adaptive Noise Cancellation of Doppler Shifted Signals: A Linear Framework
Adaptive Noise Cancellation of Doppler Shifted Signals: A Linear Framework
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.
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
Stewart, R W
c819965d-70b4-4689-8206-e6e444dcbf8e
September 1996
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
Stewart, R W
c819965d-70b4-4689-8206-e6e444dcbf8e
Weiss, S and Stewart, R W
(1996)
Adaptive Noise Cancellation of Doppler Shifted Signals: A Linear Framework.
8th European Signal Processing Conference.
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Abstract
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.
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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
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Local EPrints ID: 251904
URI: http://eprints.soton.ac.uk/id/eprint/251904
PURE UUID: 834d539b-e0d0-48ea-bd4a-74cea6b8b5d8
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Date deposited: 08 Nov 2000
Last modified: 14 Mar 2024 05:13
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Author:
S Weiss
Author:
R W Stewart
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