Title :
Estimability of quantized linear systems
Author :
Shen, Ying ; Zhang, Hui
Author_Institution :
Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
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;
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
DOI :
10.1109/WCSP.2011.6096778