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Analysis of Bi-directional Filtered-x Least Mean Square Algorithm

양방향 Filtered-x 최소 평균 제곱 알고리듬에 대한 해석

  • 권오상 (고려사이버대학교 전기전자공학과)
  • Received : 2014.08.27
  • Accepted : 2014.09.12
  • Published : 2014.12.30

Abstract

The least mean square(LMS) algorithm has been popular owing to its simplicity, stability, and availability to implement. But it inherently has a problem of slow convergence speed, and the presence of a transfer function in the secondary path following the adaptive controller and the error path has been shown to generally degrade the stability and the performance of the LMS algorithm in applications of acoustical noise control. In general, in order to solve these problems, the filtered-x LMS (FX-LMS) type algorithms can be used and the bi-directional Filtered-x LMS(BFXLMS) algorithm is very attractive among them, which increase the convergence speed and the performance of the controller with nearly equivalent computation complexity. In this paper, a mathematical analysis for the BFXLMS algorithm is presented. In terms of view points of time domain, frequency domain, and stochastic domain, the characteristics and stabilities of algorithm is accurately analyzed.

Keywords

References

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