Title :
Least squares adaptive equalizer using analytic signals
Author :
Shimamura, T. ; Takahashi, S.
Author_Institution :
Dept. of Electr. Eng., Keio Univ., Yokohama, Japan
Abstract :
A least-squares (LS) adaptive transversal equalizer includes prefilters which act as the analytic signal transformers. Although the adaptive filter must be performed on complex-valued arithmetic, it requires much fewer arithmetic operations than the common LS algorithm. In the extremely ill-conditioned environments, encountered in channel equalization, the complex adaptive filter provides faster convergence and numerically more accurate estimation than the common LS adaptive filter. The advantage is a capable of reducing the condition number of the channel-correlation matrix
Keywords :
adaptive filters; convergence of numerical methods; equalisers; filtering and prediction theory; least squares approximations; analytic signal transformers; channel equalization; channel-correlation matrix; complex adaptive filter; convergence; least squares adaptive transversal equaliser; prefilters; Adaptive equalizers; Adaptive filters; Arithmetic; Convergence of numerical methods; Finite impulse response filter; Frequency; Least squares methods; Signal analysis; Transformers; Transversal filters;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.115646