2003Unpublished venueRequires access

A low complexity blind multiuser detector

Feng Wu, Chenyang Yang, Bin Xu, Shiyi Mao

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Abstract

A low complexity method of signal subspace estimation without eigendecomposition and its application to multiuser detection is presented. In the new method, the signal subspace is spanned by the signature waveform of the desired user and the interference subspace which can be estimated through the columns of the correlation matrix. It has almost identical performance to the recently proposed multiuser detectors based on signal subspace estimated by eigendecomposition. Numerical simulation results are provided to support our claims.

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What this paper is about

A low complexity method of signal subspace estimation without eigendecomposition and its application to multiuser detection is presented. In the new method, the signal subspace is spanned by the signature waveform of the desired user and the interference subspace which can be estimated through the columns of the correlation matrix. It has almost identical performance to the recently proposed multiuser detectors based on signal subspace estimated by eigendecomposition. Numerical simulation results are provided to support our claims.

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Available abstract

A low complexity method of signal subspace estimation without eigendecomposition and its application to multiuser detection is presented. In the new method, the signal subspace is spanned by the signature waveform of the desired user and the interference subspace which can be estimated through the columns of the correlation matrix. It has almost identical performance to the recently proposed multiuser detectors based on signal subspace estimated by eigendecomposition. Numerical simulation results are provided to support our claims.

Key concepts: Eigendecomposition of a matrix, Subspace topology, Signal subspace, Multiuser detection, Algorithm, Detector, Interference (communication), Detection theory

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