Subsection various step-size adaptive algorithm and its performance in noise cancelling and magnetometer calibration

Step-size is the most important parameter in LMS adaptive algorithm, which directly influences the performance of adaptive filter. In this paper, filter parameter is theoretically calculated and subsection various step-size (SVSS) is introduced to improve stability of adaptive filter. Simulation res...

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Bibliographic Details
Published in2010 International Conference on Intelligent Control and Information Processing pp. 20 - 24
Main Authors Mengchun Pan, Hongfeng Pang, Shitu Luo, Qi Zhang, Ruifang Xie
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2010
Subjects
Adaptive filters
Calibration
Convergence
Filtering algorithms
Magnetic separation
Magnetometers
Signal processing algorithms
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Summary:Step-size is the most important parameter in LMS adaptive algorithm, which directly influences the performance of adaptive filter. In this paper, filter parameter is theoretically calculated and subsection various step-size (SVSS) is introduced to improve stability of adaptive filter. Simulation results indicate that the new method of SVSS can solve well the contradiction between convergence rate and stability in noise cancelling. Furthermore, SVSS is introduced in calibration of three-axis magnetometer based on simulation and experiment. Obviously, experiment result shows the advantage of SVSS compared with fixed step-size and various step-size (VSS) method.
ISBN:9781424470471
1424470471
DOI:10.1109/ICICIP.2010.5564197