The frequency-domain RLS algorithm with incremental hopping-index

Author

PooGyeon Park ; Kim, Dongk Yoo ; Jung, Seong Chul ; Park, Won Seok

Author_Institution

Electr. & Comput. Eng. Div., Pohang Univ. of Sci. & Technol., South Korea

fYear

2001

fDate

2001

Firstpage

386

Lastpage

388

Abstract

Introduces a frequency-domain adaptive algorithm based on the recursive least squares (RLS) concept and a sliding FFT and suggests a method of efficiently incrementing the hopping-index of a sliding FFT. The proposed algorithm increases the convergence speed and substantially reduces computational complexity, compared with existing frequency-domain adaptive algorithms, and performs excellently in ill-conditioned channel equalization

Keywords

FIR filters; adaptive equalisers; adaptive filters; computational complexity; convergence; fast Fourier transforms; filtering theory; FIR filters; adaptive equalisers; adaptive filters; computational complexity; convergence speed; fast Fourier transforms; frequency-domain adaptive algorithms; frequency-domain recursive least squares algorithm; ill-conditioned channel equalization; incremental hopping-index; sliding FFT; Adaptive algorithm; Adaptive equalizers; Computational complexity; Convergence; Equations; Finite impulse response filter; Least squares approximation; Mobile communication; Resonance light scattering; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers

Conference_Location

Nagoya

Print_ISBN

0-7803-7306-5

Type

conf

DOI

10.1109/SICE.2001.977867

Filename

977867