Title :
Channel equalization using an Euclidean direction search based adaptive algorithm
Author :
Xu, Guo Fang ; Bose, Tamal ; Schroeder, Jim
Author_Institution :
Dept. of Electr. Eng., Colorado Univ., Denver, CO, USA
Abstract :
An adaptive filtering algorithm based on the Euclidean direction search (EDS) method is presented for channel equalization. It is shown that this algorithm has a computational complexity of O(N), where N is the number of adaptable filter coefficients. It is also proven that the algorithm converges to the true solution and that the convergence rate of the EDS method is superior to that of the well known LMS algorithm. Computer simulations of channel equalization using the EDS method exhibit a fast rate of convergence and low sensitivity to the eigenvalue spread of the correlation matrix
Keywords :
adaptive equalisers; adaptive filters; adaptive signal processing; bandlimited communication; computational complexity; convergence of numerical methods; correlation methods; eigenvalues and eigenfunctions; filtering theory; matrix algebra; search problems; telecommunication channels; EDS method; Euclidean direction search; LMS algorithm; adaptable filter coefficients; adaptive channel equalization; adaptive filtering algorithm; algorithm convergence; band-limited channel; computational complexity; computer simulations; convergence rate; correlation matrix; eigenvalue spread; transversal adaptive equalizer; Adaptive algorithm; Adaptive equalizers; Adaptive filters; Australia; Computational complexity; Convergence; Eigenvalues and eigenfunctions; Filtering algorithms; Least squares approximation; Resonance light scattering;
Conference_Titel :
Global Telecommunications Conference, 1998. GLOBECOM 1998. The Bridge to Global Integration. IEEE
Conference_Location :
Sydney,NSW
Print_ISBN :
0-7803-4984-9
DOI :
10.1109/GLOCOM.1998.775847
