Performance analysis of a second order statistics based solution for the MIMO channel identification problem

The CFC/sub 2/ 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 CFC/sub...

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Bibliographic Details
Published in2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221) Vol. 4; pp. 2141 - 2144 vol.4
Main Authors Xavier, J., Barroso, V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2001
Subjects
Algorithm design and analysis
Computer errors
Computer simulation
Covariance matrix
Filtering
MIMO
Performance analysis
Statistical analysis
Statistics
Stochastic systems
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ISBN0780370414
9780780370418
ISSN1520-6149
DOI10.1109/ICASSP.2001.940417

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Summary:The CFC/sub 2/ 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 CFC/sub 2/ 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.
ISBN:0780370414
9780780370418
ISSN:1520-6149
DOI:10.1109/ICASSP.2001.940417