Title :
An FFT-Based Method for Blind Identification of FIR SIMO Channels
Author :
Wang, Song ; Manton, Jonathan ; Tay, David B H ; Zhang, Cishen ; Devlin, John C.
Author_Institution :
La Trobe Univ., Bundoora
fDate :
7/1/2007 12:00:00 AM
Abstract :
This letter develops a fast Fourier transform (FFT)-based method for estimating the impulse response of FIR single-input multiple-output (SIMO) channels driven by an unknown deterministic signal. The proposed algorithm successfully handles very short data sequences, for which the existing second-order statistics based methods, e.g., the subspace (SS), cross-relation (CR), and shifted correlation (SC) algorithms, are known to suffer performance degradation due to inaccurate statistics. The new method significantly outperforms the SS, CR, and SC methods with short sequences of observation data. This proposed method is computationally efficient for achieving good performance when data sequences are inevitably short, as in certain practical applications.
Keywords :
MIMO communication; blind source separation; correlation methods; fast Fourier transforms; higher order statistics; telecommunication channels; transient response; FIR SIMO channels; FIR single-input multiple-output channels; blind identification; cross-relation algorithm; data sequences; fast Fourier transform-based method; finite sample convergence; impulse response; second-order statistics; shifted correlation algorithm; subspace algorithm; unknown deterministic signal; Chromium; Convergence; Degradation; Discrete Fourier transforms; Fast Fourier transforms; Finite impulse response filter; Power capacitors; Signal processing; Signal processing algorithms; Statistics; Blind identification; SIMO channels; finite sample convergence;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2006.891340