STLN-based channel estimation using superimposed training and first-order statistics

In this paper, Channel estimation using superimposed training and first-order statistics is considered. Information-induced interference matrix in channel estimation is of Toeplitz structure, which can be utilized for deconvolution of the system equation. A structured total least norm (STLN) approac...

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Bibliographische Detailangaben

Hauptverfasser:	Chunquan He, Gaoqi Dou, Jun Gao, Cheng Fan
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	channel estimation least squares structured total least squares norm superimposed training
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