DocumentCode :
2575018
Title :
Estimability of quantized linear systems
Author :
Shen, Ying ; Zhang, Hui
Author_Institution :
Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
fYear :
2011
fDate :
9-11 Nov. 2011
Firstpage :
1
Lastpage :
6
Abstract :
The estimability of quantized dynamic linear systems was discussed from information theoretic point of view. The presented definitions were reviewed and extended to more general systems. Criterions of estimability for systems with quantized outputs were proposed based on the measure of mutual information. These obtained condition of estimability consists with our intuition very well and provides us with intrinsic perspective for the quantizer design. Furthermore, the convergence property of the quantized estimability Gramian was analyzed. The mathematical analysis is verified by illustrative simulations.
Keywords :
estimation theory; linear systems; mathematical analysis; convergence property; information theory; mathematical analysis; quantized dynamic linear system; quantized estimability Gramian property; quantizer design; systems estimability; Convergence; Filtering algorithms; Linear systems; Quantization; State estimation; Stochastic systems; estimability; information theoretic method; quantized linear system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Signal Processing (WCSP), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4577-1009-4
Electronic_ISBN :
978-1-4577-1008-7
Type :
conf
DOI :
10.1109/WCSP.2011.6096778
Filename :
6096778
Link To Document :
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