Title :
State space modeling for MIMO wireless channels
Author :
Zhang, Chengjin ; Bitmead, Robert R.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
Abstract :
State space models are proposed to represent MIMO frequency-selective wireless channels with the motivation of better model approximation performance and more parsimonious parametrization. We study the MIMO channel approximation error as a function of model order and show that state-space models possess improved performance compared to more standard FIR models. A recursive algorithm, based on the subspace system identification methods, to estimate the state-space channel model using training data is presented. When compared to the FIR-based recursive least squares algorithm, the state-space-based channel estimator shows the ability of providing low-order models of high-quality channel approximation, while preserving comparable convergence rate.
Keywords :
MIMO systems; channel estimation; convergence of numerical methods; least squares approximations; radiocommunication; recursive estimation; state-space methods; FIR model; MIMO wireless channel; channel estimation; convergence; frequency-selective wireless channel; recursive least squares algorithm; state space modeling; subspace system identification method; training data; Approximation error; Finite impulse response filter; Frequency; Least squares approximation; MIMO; Recursive estimation; State estimation; State-space methods; System identification; Training data;
Conference_Titel :
Communications, 2005. ICC 2005. 2005 IEEE International Conference on
Print_ISBN :
0-7803-8938-7
DOI :
10.1109/ICC.2005.1494745