Title :
A reduced order H∞ deconvolution filter design using bounded real lemma
Author :
Rho, Him ; Hsu, Chin S.
Author_Institution :
Sch. of Electr. Engineermig´´ & Comput. Sci., Washington State Univ., Pullman, WA, USA
Abstract :
A reduced-order H∞ deconvolution filter design based on the bounded real lemma for linear discrete-time systems is presented. The order of the proposed deconvolution filter is less than or equal to n-p, where n and p are orders of the system and the measurement, respectively. The filter parameters are expressed in closed-form in terms of a solution to a Riccati difference equation. Application examples of image restoration and channel equalization using the proposed filter are presented
Keywords :
Riccati equations; deconvolution; difference equations; discrete time systems; equalisers; filtering theory; image restoration; linear systems; reduced order systems; Riccati difference equation; bounded real lemma; channel equalization; image restoration; linear discrete-time systems; reduced order H∞ deconvolution filter; Deconvolution; Difference equations; Estimation error; Filters; Riccati equations; State estimation; Symmetric matrices; Uncertainty;
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-6495-3
DOI :
10.1109/ACC.2001.945642
