Title :
Performance analysis of a second order statistics based solution for the MIMO channel identification problem
Author :
Xavier, João ; Barroso, Victor
Author_Institution :
Instituto de Sistemas e Robotica, Instituto Superior Tecnico, Lisboa, Portugal
Abstract :
The CFC2 algorithm is a recently introduced analytical solution for the blind MIMO channel identification problem, provided a certain spectral diversity holds for the stochastic inputs of the MIMO system. Here, we develop a theoretical study to derive the asymptotic performance of the CFC2 algorithm, in terms of mean-square error. Asymptotic normality of the MIMO channel estimate is proved, and the asymptotic error covariance matrix derived. Computer simulation results are included to validate the theoretical expressions
Keywords :
blind equalisers; covariance analysis; covariance matrices; error statistics; mean square error methods; spectral analysis; state estimation; CFC2 algorithm; MIMO channel; asymptotic error covariance matrix; asymptotic normality; asymptotic performance; blind channel identification; channel estimate; mean square error; second order statistics; spectral diversity; stochastic inputs; Algorithm design and analysis; Computer errors; Computer simulation; Covariance matrix; Filtering; MIMO; Performance analysis; Statistical analysis; Statistics; Stochastic systems;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940417
