Blind adaptive reduced-rank estimation based on the constant modulus criterion and diversity combined decimation and interpolation

This work proposes a low-complexity blind adaptive reduced-rank method (BARC) for symbol estimation using an adaptive decimation and interpolation scheme based on diversity-combining and the constant modulus criterion for interference suppression. The proposed approach employs an iterative procedure...

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Veröffentlicht in:2008 IEEE International Conference on Acoustics, Speech and Signal Processing S. 2813 - 2816
Hauptverfasser: de Lamare, R.C., Sampaio-Neto, R., Haardt, M.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.03.2008
Schlagworte:
Adaptive algorithm
Blind adaptive estimation
Interference constraints
Interference suppression
Interpolation
Iterative methods
Multiaccess communication
Parameter estimation
Performance gain
reduced-rank techniques
Stochastic processes
ISBN:9781424414833, 1424414830
ISSN:1520-6149
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Abstract This work proposes a low-complexity blind adaptive reduced-rank method (BARC) for symbol estimation using an adaptive decimation and interpolation scheme based on diversity-combining and the constant modulus criterion for interference suppression. The proposed approach employs an iterative procedure to jointly optimize the interpolation, decimation and estimation tasks for blind reduced-rank parameter estimation. We describe joint iterative estimators based on the constrained constant modulus (CCM) criterion, introduce alternative decimation structures, including the optimal decimation scheme, and develop low-complexity stochastic gradient adaptive algorithms for the proposed structure. Simulations for a CDMA interference suppression application show an excellent performance and substantial gains over prior art.
AbstractList This work proposes a low-complexity blind adaptive reduced-rank method (BARC) for symbol estimation using an adaptive decimation and interpolation scheme based on diversity-combining and the constant modulus criterion for interference suppression. The proposed approach employs an iterative procedure to jointly optimize the interpolation, decimation and estimation tasks for blind reduced-rank parameter estimation. We describe joint iterative estimators based on the constrained constant modulus (CCM) criterion, introduce alternative decimation structures, including the optimal decimation scheme, and develop low-complexity stochastic gradient adaptive algorithms for the proposed structure. Simulations for a CDMA interference suppression application show an excellent performance and substantial gains over prior art.
Author Haardt, M.
Sampaio-Neto, R.
de Lamare, R.C.
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  surname: Sampaio-Neto
  fullname: Sampaio-Neto, R.
  organization: Commun. Res. Group, York Univ., York
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  givenname: M.
  surname: Haardt
  fullname: Haardt, M.
  organization: Commun. Res. Group, York Univ., York
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Snippet This work proposes a low-complexity blind adaptive reduced-rank method (BARC) for symbol estimation using an adaptive decimation and interpolation scheme based...
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StartPage 2813
SubjectTerms Adaptive algorithm
Blind adaptive estimation
Interference constraints
Interference suppression
Interpolation
Iterative methods
Multiaccess communication
Parameter estimation
Performance gain
reduced-rank techniques
Stochastic processes
Title Blind adaptive reduced-rank estimation based on the constant modulus criterion and diversity combined decimation and interpolation
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