Title :
Precoder design and blind identification of MIMO channels
Author :
Su, Weizhou ; Zheng, Wei Xing ; Chai, Li
Author_Institution :
Sch. of QMMS, Univ. of Western Sydney, NSW
fDate :
7/1/2006 12:00:00 AM
Abstract :
In this paper, blind identification problem based on second-order statistics (SOS) of received signals is investigated for multiple-input multiple-output (MIMO) channels. It is shown that precoders introduced in transmitters can provide certain extra information for blind identification problem and commonly used identifiability conditions on MIMO channels can be relaxed. A design criterion for the precoders in frequency domain is proposed. Two blind identification algorithms based on the knowledge of the precoders and SOS of the received signals are then developed. In these algorithms, due to particular structure of the precoders, the blind identification problem for a MIMO channel is decomposed into several independent single-input multiple-output (SIMO) channel identification problems. The presented algorithms are robust to an overestimated channel order and not sensitive to signal-to-noise ratio (SNR). Compared with the existing results, a larger class of MIMO finite-impulse-response (FIR) channels can be identified by the new methods
Keywords :
FIR filters; MIMO systems; channel coding; frequency-domain analysis; multiuser channels; precoding; radio networks; FIR channels; MIMO channels; blind identification problems; finite-impulse-response channels; frequency domain; multiple-input multiple-output; precoder design; second-order statistics; signal-to-noise ratio; single-input multiple-output channel identification; Australia; Blind equalizers; Finite impulse response filter; Intersymbol interference; MIMO; Signal design; Signal processing; Statistics; Transfer functions; Transmitters; Blind identification; multiple-input multiple-output (MIMO) channels; precoders; second-order statistics (SOS); spectral factorization;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2006.874812