Title :
Blind multichannel identification via frequency selection
Author :
Wang, Song ; Manton, Jonathan H.
Author_Institution :
La Trobe Univ., Bundoora
Abstract :
In a recent study on blind multichannel identification, we presented a fast Fourier transform based algorithm, called the BI-FFT algorithm. The BI-FFT algorithm is capable of dealing with channel outputs of a very short length, which is of practical importance in communication applications where wireless channels involve high mobility. However, when the output sample size is relatively large, the BI-FFT algorithm becomes cumbersome and computationally costly. To address this issue, we develop a frequency selection approach in this paper. The proposed method strategically chooses those frequency bins that significantly contribute to the error dynamics in the channel estimation process. As a result, the row dimension of a key matrix in the identification equation is considerably reduced, effectively decreasing the computational cost. With a comparable performance, the new method is much more efficient in computation than the original BI-FFT algorithm in case of long data sequences.
Keywords :
channel estimation; fast Fourier transforms; matrix algebra; wireless channels; blind multichannel identification; channel estimation process; channel outputs; fast Fourier transform based algorithm; frequency selection; key matrix row dimension; wireless channels; Australia; Channel estimation; Chromium; Computational efficiency; Equations; Fast Fourier transforms; Finite impulse response filter; Frequency estimation; Higher order statistics; Signal processing algorithms;
Conference_Titel :
Communications and Information Technologies, 2007. ISCIT '07. International Symposium on
Conference_Location :
Sydney,. NSW
Print_ISBN :
978-1-4244-0976-1
Electronic_ISBN :
978-1-4244-0977-8
DOI :
10.1109/ISCIT.2007.4392183