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Performance of Single and MultiReference NLMS Noise Canceller Based on Correlation between Signal and Noise
Yapi ATSE Kenji NAKAYAMA Zhiqiang MA
Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Vol.E78A
No.11
pp.15761588 Publication Date: 1995/11/25
Online ISSN:
DOI:
Print ISSN: 09168508 Type of Manuscript: PAPER Category: Digital Signal Processing Keyword: noise canceller, normalized LMS algorithm, signalnoise correlation, multireference noise canceller,
Full Text: PDF>>
Summary:
Singlereference and multireference noise canceller (SRNC and MRNC) performances are investigated based on correlation between signal and noise. Exact relations between these noise canceller performances and signalnoise correlation have not been well discussed yet. In this paper, the above relations are investigated based on theoretical, analysis and computer simulation. The normalized LMS (NLMS) algorithm is employed. Uncorrelate, partially correlated, and correlated signal and noise combinations are taken into account. Computer simulation is carried out, using real speech, white noise, real noise sound, sine wave signals, and their combinations. In the SRNC problem, spectral analysis is applied to derive the canceller output power spectrum. From the simulation results, it is proven that the SRNC performance is inversely proportional to the signalnoise correlation as expected by the theoretical analysis. From the simulation results, the MRNC performance is more sensitive to the signalnoise correlation than that of SRNC. When the signalnoise correlation is high, by using a larger number of adaptive filter taps, the noise is reduced more, and, the signal distortion is increased. This means the signal components included in the noise are canceled exactly.

