Eigenvector Algorithm for Blind Equalization

Autoren: B. Jelonnek, K.-D. Kammeyer
Kurzfassung: This paper introduces a new algorithm for blind equalization which uses a set of cost functions. Each of them guarantees a closed form solution of the equalization problem and approximates the ideal MSE (mean square error) solution. On the basis of an iterative process the best approximation is selected. Application of this algorithm is not limited to linear equalizers operating at symbol rate. As a possible generalization to include other areas (such as system identification, decision-feedback equalization or fractionally spaced equalization), an extension to fractional tap space equalizers is outlined.
Dokumenttyp: Konferenzbeitrag
Veröffentlichung: IEEE Signal Processing Workshop on Higher-Order Statistics, 7. - 9. Juni 1993
Konferenz: IEEE Signal Processing Workshop on Higher-Order Statistics (SPW-HOS 93)
Seiten: 19-23
Index: 22
SPW-HOS_1993_jelonnek.ps.gz198 KB
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