• DocumentCode
    1544698
  • Title

    Mixed H2/H filtering design in multirate transmultiplexer systems: LMI approach

  • Author

    Chen, Bor-Sen ; Tsai, Chang-Lan ; Chen, Yi-Fong

  • Author_Institution
    Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • Volume
    49
  • Issue
    11
  • fYear
    2001
  • fDate
    11/1/2001 12:00:00 AM
  • Firstpage
    2693
  • Lastpage
    2701
  • Abstract
    A mixed H2/H filter design is proposed for multirate transmultiplexer systems with dispersive channel and additive noise. First, a multirate state-space representation is introduced for the transmultiplexer with the consideration of channel dispersion. Then, the problem of signal reconstruction can be regarded as a state estimation problem. In order to design an efficient separating filterbank for a transmultiplexer system with uncertain input signal and additive noise, the H filter is employed for robust signal reconstruction. The H2 filter design is considered to be a suboptimal approach to achieve the optimal signal reconstruction in transmultiplexer system under unitary noise power. Finally, a mixed H2/H filter is proposed to achieve a better signal reconstruction performance in transmultiplexer systems. These design problems can be transformed to solving the eigenvalue problems (EVP) under some linear matrix inequality (LMI) constraint. The LMI Matlab toolbox can be applied to efficiently solve the EVP by convex optimization technique
  • Keywords
    H optimisation; circuit CAD; circuit optimisation; digital filters; dispersive channels; eigenvalues and eigenfunctions; matrix algebra; network synthesis; signal reconstruction; state estimation; transmultiplexing; LMI Matlab toolbox; LMI approach; additive noise; convex optimization; dispersive channel; efficient separating filterbank; eigenvalue problems; input signal; linear matrix inequality; mixed H2/H filtering design; multirate state-space representation; multirate transmultiplexer systems; optimal signal reconstruction; robust signal reconstruction; state estimation problem; suboptimal approach; unitary noise power; Additive noise; Channel bank filters; Crosstalk; Filter bank; Filtering; Frequency division multiaccess; Multiaccess communication; OFDM modulation; Signal design; Signal reconstruction;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.960416
  • Filename
    960416