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A Blind Identification Method for Nonminimum Phase SIMO Systems

Jia Li

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Abstract

A new blind identification method for nonminimum phase SIMO systems is proposed. The outputs of each channel are re-organized as a new output sequence, which has cyclostaionarity property. Based on subspace decompositions the parameters of different channels are estimated separately. Compared with conventional approaches, this method is not only suitable for the identification of minimum phase systems but also effective to nonminimum or IIR systems. The method has less computation complex and high estimation speed. The simulation result illustrates the efficiency.

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What this paper is about

A new blind identification method for nonminimum phase SIMO systems is proposed. The outputs of each channel are re-organized as a new output sequence, which has cyclostaionarity property. Based on subspace decompositions the parameters of different channels are estimated separately. Compared with conventional approaches, this method is not only suitable for the identification of minimum phase systems but also effective to nonminimum or IIR systems. The method has less computation complex and high estimation speed. The simulation result illustrates the efficiency.

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Available abstract

A new blind identification method for nonminimum phase SIMO systems is proposed. The outputs of each channel are re-organized as a new output sequence, which has cyclostaionarity property. Based on subspace decompositions the parameters of different channels are estimated separately. Compared with conventional approaches, this method is not only suitable for the identification of minimum phase systems but also effective to nonminimum or IIR systems. The method has less computation complex and high estimation speed. The simulation result illustrates the efficiency.

Key concepts: Control theory (sociology), Infinite impulse response, Identification (biology), Computation, Subspace topology, System identification, Minimum phase, Phase (matter)

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