Computer Science – Information Theory
Scientific paper
2011-02-07
Computer Science
Information Theory
10 pages, 6 figures, submitted to IEEE Trans. Signal Process
Scientific paper
In this paper, we derive the Cramer-Rao bound (CRB) for blind channel estimation in redundant block transmission systems, a lower bound for the mean squared error of any blind channel estimators. The derived CRB is valid for any full-rank linear redundant precoder, including both zero-padded (ZP) and cyclic-prefixed (CP) precoders. A simple form of CRBs for multiple complex parameters is also derived and presented which facilitates the CRB derivation of the problem of interest. A comparison is made between the derived CRBs and performances of existing subspace-based blind channel estimators for both CP and ZP systems. Numerical results show that there is still some room for performance improvement of blind channel estimators.
Li Yen-Huan
Su Borching
Yeh Ping-Cheng
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