Title :
Fractionally-spaced equalizers based on singular value decomposition
Author :
Long, Guozhu ; Ling, Fuyun ; Proakis, John G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
Abstract :
Investigation of the eigenstructure of the autocorrelation matrix of the received signal in a complex or real fractionally-spaced equalizer indicates that this matrix has a certain number of nontrivial eigenvalues. By using singular value decomposition, it is shown that the excess mean-square error in least-squares adaptive algorithms is proportional to the number of nontrivial eigenvalues, instead of the number of taps. This leads to methods for effectively reducing the misadjustment error
Keywords :
eigenvalues and eigenfunctions; equalisers; signal processing; autocorrelation matrix; eigenstructure; excess mean-square error; fractionally-spaced equalizer; least-squares adaptive algorithms; nontrivial eigenvalues; singular value decomposition; Autocorrelation; Eigenvalues and eigenfunctions; Equalizers; Equations; Fading; Fourier transforms; Matrix decomposition; Mean square error methods; Sampling methods; Singular value decomposition;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
DOI :
10.1109/ICASSP.1988.196891
