Convergence Analysis of Active Noise Control Systems Using Root Locus Theory

نویسندگان

  • Iman Tabatabaei Ardekani
  • Waleed H. Abdulla
چکیده

This paper applies root locus theory in order to conduct a new convergence analysis for the stochastic FxLMS algorithm, without any simplifying assumption regarding the secondary path. The main steps to sketch the root locus of the FxLMS adaptation process are developed. Using the obtained root locus plot, the upper bound for the adaptation step-size beyond which the adaptation process becomes unstable is derived. The proposed bound applies to moving average secondary systems, while previously proposed ones only apply to pure delay secondary systems. Results obtained from this study are found to agree very well with those obtained from the numerical analysis and simulation results.

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تاریخ انتشار 2010