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Title:
FREQUENCY DOMAIN ADAPTATION WITH DYNAMIC STEP SIZE ADJUSTMENT BASED ON ANALYSIS OF STATISTIC OF ADAPTIVE FILTER COEFFICIENT MOVEMENT
Document Type and Number:
WIPO Patent Application WO/2021/016000
Kind Code:
A3
Abstract:
An adaptive filter includes a frequency domain adaptation block that analyzes a statistic of coefficient movement in the frequency domain. The adaption block adjusts, in the frequency domain, a parameter (step size or leakage factor) that affects speed of convergence of the adaptive filter based on the analyzed statistic of filter coefficient movement. The filter includes an associated coefficient, statistic of coefficient movement, and parameter for each frequency bin. The coefficients may be complex numbers, and separate real and imaginary statistics and parameters are maintained. The statistic may be direction counts of the filter coefficient movement. The step size may be adjusted to a predetermined minimum value when the current direction of movement of the filter coefficient is different than the predominant direction and otherwise the step size is adjusted approximately proportionally to an amount of predominance by a value based on a direction count of the filter coefficient movement.

Inventors:
ZHOU DAYONG (US)
YONG CHIN (US)
Application Number:
PCT/US2020/041982
Publication Date:
February 25, 2021
Filing Date:
July 14, 2020
Export Citation:
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Assignee:
CIRRUS LOGIC INT SEMICONDUCTOR LTD (GB)
International Classes:
H04L25/03; G10K11/178; H03H21/00; H04B3/23
Foreign References:
US9036816B12015-05-19
US20180308465A12018-10-25
Other References:
SZADKOWSKI ZBIGNIEW ET AL: "The Least Mean Squares Adaptive FIR Filter for Narrow-Band RFI Suppression in Radio Detection of Cosmic Rays", IEEE TRANSACTIONS ON NUCLEAR SCIENCE, IEEE SERVICE CENTER, NEW YORK, NY, US, vol. 64, no. 6, 1 June 2017 (2017-06-01), pages 1304 - 1315, XP011654732, ISSN: 0018-9499, [retrieved on 20170626], DOI: 10.1109/TNS.2017.2703617
Attorney, Agent or Firm:
DAVIS, E., Alan et al. (US)
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