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2005•Journal of Xidian UniversityRequires access

A blind identification method for single-inputmulti-output multi-channel systems

Yong Wang

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Abstract

A new blind identification method for single-input multi-output(SIMO) multi-channel systems is proposed. The outputs of each channel are reconstructed to a new output sequence, which has a cyclostaionarity property. Based on subspace decomposition the parameters of different channels should be estimated separately. Compared with high order statistics approaches this method has less complication and is more suitable for high speed communication channel identifycation. Simulation result shows that it has a high estimate accuracy.

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What this paper is about

A new blind identification method for single-input multi-output(SIMO) multi-channel systems is proposed. The outputs of each channel are reconstructed to a new output sequence, which has a cyclostaionarity property. Based on subspace decomposition the parameters of different channels should be estimated separately. Compared with high order statistics approaches this method has less complication and is more suitable for high speed communication channel identifycation. Simulation result shows that it has a high estimate accuracy.

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Available abstract

A new blind identification method for single-input multi-output(SIMO) multi-channel systems is proposed. The outputs of each channel are reconstructed to a new output sequence, which has a cyclostaionarity property. Based on subspace decomposition the parameters of different channels should be estimated separately. Compared with high order statistics approaches this method has less complication and is more suitable for high speed communication channel identifycation. Simulation result shows that it has a high estimate accuracy.

Key concepts: Channel (broadcasting), Subspace topology, Identification (biology), Computer science, Property (philosophy), Sequence (biology), Algorithm, Control theory (sociology)

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