International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Sparse Reconfigurable Adaptive Filter with an Upgraded Connection Constraint Algorithm

  • Chang, Hong (Department of Advanced Parts & Materials Engineering, Chosun University) ;
  • Hwang, Suk-Seung (Department of Mechatronics Engineering, Chosun University)
  • Received : 2011.11.02
  • Accepted : 2011.12.12
  • Published : 2011.12.25
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Abstract

A sparse reconfigurable adaptive filter (SRAF) based on a photonic switch determines the appropriate time delays and weight values for an optical switch implementation of tapped-delay-line (TDL) systems. It is well known that the choice of switch delays is significantly important for efficiently implementing the SRAF. If the same values exist as calculating the sum of weight magnitudes for implementing the connection constraint required by the SRAF, conventional connection algorithm based on sequentially selection the maximum elements might not work perfectly. In an effort to increase the effectiveness of system identification, an upgraded connection algorithm used progressive calculation to obtain the better solution is considered in this paper. The performance of the proposed connection constraint algorithm is illustrated by computer simulation for a system identification application.

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References

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