Open AccessFFT/IFFT Based Blind SIMO Channel Identification
Author(s) -
Song Wang,
Jonathan H. Manton
Publication year - 2007
Publication title -
ecti transactions on electrical eng. / electronics and communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.148
H-Index - 7
ISSN - 1685-9545
DOI - 10.37936/ecti-eec.200862.171784
Subject(s) - channel (broadcasting) , fast fourier transform , algorithm , computer science , subspace topology , impulse response , identification (biology) , impulse (physics) , signal (programming language) , mathematics , artificial intelligence , telecommunications , mathematical analysis , botany , physics , quantum mechanics , biology , programming language
This paper presents an FFT/IFFT based blind identification method for estimating the finite impulse response of single-input multiple-output channels driven by an unknown deterministic signal. The proposed algorithm successfully handles a very small size of received data, for which the existing blind channel estimation methods, including the subspace, cross-relation and shifted correlation algorithms, are known to be ineffective. Moreover, with no assumption of the precise knowledge of channel order, the proposed algorithm is capable of estimating channel parameters as well as detecting channel order. Simulations show that the proposed algorithm outper forms the existing methods in small sample size situations.