Title :
QR decomposition based blind channel identification and equalization
Author :
Li, Xiaohua ; Fan, H.
Author_Institution :
Dept. of ECECS, Cincinnati Univ., OH, USA
Abstract :
Most eigenstructure-based blind channel identification and equalization algorithms with second-order statistics need SVD or EVD of the correlation matrix of the output signal. We address a new algorithm based on QR factorization of the output data directly. Compared with existing algorithms in the same category, our algorithm is computationally more efficient and numerically (potentially) more robust. Numerical simulations demonstrate the performance of the proposed algorithms.
Keywords :
blind equalisers; correlation methods; matrix decomposition; parameter estimation; statistical analysis; telecommunication channels; EVD; ISI; QR decomposition; QR factorization; SVD; blind channel equalization algorithm; blind channel identification algorithm; computationally efficient algorithm; correlation matrix; digital communication channels; eigenstructure; numerical simulations; output data; output signal; performance; second-order statistics; Blind equalizers; Digital communication; Eigenvalues and eigenfunctions; Intersymbol interference; Matrix decomposition; Numerical simulation; Robustness; Signal processing; Signal processing algorithms; Statistics;
Conference_Titel :
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5148-7
DOI :
10.1109/ACSSC.1998.751573
