Blind Linear Interference Suppression Based on Reduced-Rank Least-Squares Constrained Constant Modulus Design for DS-CDMA Systems

In this paper we present a blind interference suppression technique for DS-CDMA systems based on a reduced-rank decomposition of a code-constrained constant modulus design criterion. We describe a least-squares (LS) type design criterion for blind linear detectors using the constrained optimization...

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Published in:2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 Vol. 3; pp. III-669 - III-672
Main Authors: de Lamare, R. C., Haardt, M., Sampaio-Neto, R.
Format: Conference Proceeding
Language:English
Published: IEEE 01.04.2007
Subjects:
Algorithm design and analysis
blind methods
CDMA
Constraint optimization
Cost function
Design optimization
Detectors
Interference constraints
Interference suppression
Intersymbol interference
Least squares methods
Multiaccess communication
Parameter estimation
ISBN:9781424407279, 1424407273
ISSN:1520-6149
Online Access:Get full text
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Abstract In this paper we present a blind interference suppression technique for DS-CDMA systems based on a reduced-rank decomposition of a code-constrained constant modulus design criterion. We describe a least-squares (LS) type design criterion for blind linear detectors using the constrained optimization of the constant modulus cost function subject to code constraints. Based on this design approach and using the Lanczos algorithm, a multistage decomposition in the Krylov subspace is devised for blind reduced-rank parameter estimation. A computationally efficient blind reduced-rank LS type algorithm is also developed and compared with existing methods. Numerical results show that the proposed full-rank and reduced-rank techniques outperform existing methods for the linear suppression of multi-access and intersymbol interference in DS-CDMA systems.
AbstractList In this paper we present a blind interference suppression technique for DS-CDMA systems based on a reduced-rank decomposition of a code-constrained constant modulus design criterion. We describe a least-squares (LS) type design criterion for blind linear detectors using the constrained optimization of the constant modulus cost function subject to code constraints. Based on this design approach and using the Lanczos algorithm, a multistage decomposition in the Krylov subspace is devised for blind reduced-rank parameter estimation. A computationally efficient blind reduced-rank LS type algorithm is also developed and compared with existing methods. Numerical results show that the proposed full-rank and reduced-rank techniques outperform existing methods for the linear suppression of multi-access and intersymbol interference in DS-CDMA systems.
Author de Lamare, R. C.
Haardt, M.
Sampaio-Neto, R.
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  givenname: R.
  surname: Sampaio-Neto
  fullname: Sampaio-Neto, R.
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Snippet In this paper we present a blind interference suppression technique for DS-CDMA systems based on a reduced-rank decomposition of a code-constrained constant...
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StartPage III-669
SubjectTerms Algorithm design and analysis
blind methods
CDMA
Constraint optimization
Cost function
Design optimization
Detectors
Interference constraints
Interference suppression
Intersymbol interference
Least squares methods
Multiaccess communication
Parameter estimation
Title Blind Linear Interference Suppression Based on Reduced-Rank Least-Squares Constrained Constant Modulus Design for DS-CDMA Systems
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