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Statistical tracking behavior of affine projection algorithm for unity step size

Author

Listed:
  • Zhi, Yongfeng
  • Yang, Yunyi
  • Zheng, Xi
  • Zhang, Jun
  • Wang, Zhen

Abstract

Since unity step size could guarantee the fastest convergence and more detailed analysis for the affine projection (AP) algorithm, a statistical tracking behavior of AP algorithm is discussed in this paper. Deterministic recursive equations are derived for the mean weight error and mean-square error. All the possible correlations between the adaptive filtering coefficients and the past measurement noise are considered as well.

Suggested Citation

  • Zhi, Yongfeng & Yang, Yunyi & Zheng, Xi & Zhang, Jun & Wang, Zhen, 2016. "Statistical tracking behavior of affine projection algorithm for unity step size," Applied Mathematics and Computation, Elsevier, vol. 283(C), pages 22-28.
    • Handle: RePEc:eee:apmaco:v:283:y:2016:i:c:p:22-28
    DOI: 10.1016/j.amc.2016.02.003
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    References listed on IDEAS

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    1. Zhi, Yongfeng & Li, Jieliang & Zhang, Jun & Wang, Zhen, 2015. "Statistical convergence behavior of affine projection algorithms," Applied Mathematics and Computation, Elsevier, vol. 270(C), pages 511-526.
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