DocumentCode
2811121
Title
A QRD-LSL smoothing algorithm for adaptive equalization
Author
Yuan, Jenq-Tay
Author_Institution
Dept. of Electron. Eng., Fu Jen Catholic Univ., Taipei, Taiwan
Volume
3
fYear
1999
fDate
1999
Firstpage
1495
Abstract
This paper introduces order-recursive QRD-based least-squares lattice (QRD-LSL) smoothers for adaptive equalization. The QRD-LSL smoothers use past, present and future received data sequences to estimate the present value of the transmitted data sequence. Except for an overall delay needed for physical realization, QRD-LSL smoothers can substantially outperform conventional QRD-LSL filters in adaptive equalization while retaining all the advantages of an order-recursive structure
Keywords
FIR filters; adaptive equalisers; lattice filters; least squares approximations; smoothing methods; QRD-LSL smoothing algorithm; adaptive equalization; data sequences; delay; order-recursive QRD-based least-squares lattice smoothers; physical realization; transmitted data sequence; Adaptive equalizers; Adaptive filters; Covariance matrix; Delay estimation; Filtering algorithms; Lattices; Nonlinear filters; Robustness; Smoothing methods; Transversal filters;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 1999. ICC '99. 1999 IEEE International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-5284-X
Type
conf
DOI
10.1109/ICC.1999.765461
Filename
765461
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