Title :
H∞ deconvolution filtering, prediction, and smoothing: a Krein space polynomial approach
Author :
Zhang, Huanshui ; Xie, Lihua ; Soh, Yeng Chai
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
fDate :
3/1/2000 12:00:00 AM
Abstract :
This correspondence is concerned with the infinite horizon H∞ deconvolution for discrete time-invariant systems described by polynomial equations. A simple frequency domain approach in Krein space is developed for the deconvolution problem. With the help of an ARMA innovation model, solutions to the problems of deconvolution filtering, prediction, and fixed lag smoothing are obtained. The estimators are calculated by performing one J-spectral factorization
Keywords :
H∞ optimisation; autoregressive moving average processes; deconvolution; discrete systems; frequency-domain analysis; polynomials; prediction theory; smoothing methods; ARMA innovation model; H∞ deconvolution filtering; J-spectral factorization; Krein space polynomial approach; discrete time-invariant systems; fixed lag smoothing; frequency domain approach; prediction; smoothing; Antenna arrays; Deconvolution; Filtering; Higher order statistics; Nonlinear filters; Signal processing; Signal processing algorithms; Smoothing methods; Spread spectrum communication; Wireless communication;
Journal_Title :
Signal Processing, IEEE Transactions on