Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICASSP.2005.1415823
Title: Spatial algorithms for blind channel estimation
Authors: Yapa, Y.M.S.S.
Leyman, A.R. 
Issue Date: 2005
Source: Yapa, Y.M.S.S., Leyman, A.R. (2005). Spatial algorithms for blind channel estimation. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings III : III769-III772. ScholarBank@NUS Repository. https://doi.org/10.1109/ICASSP.2005.1415823
Abstract: Of the different information sources used by blind algorithms, explicit use of Finite Alphabet (FA) data is more recent than either the statistical data embedded at the source or the algebraic structure present in the channel. In channels that can be modeled using Finite Impulse Response (FIR) structures, the FA property results in the received vector set being clustered around theoretical centers. These centers are the result of the convolution of the channel matrix with a given transmitter symbol constellation. Defined as spatial structure in this paper, they provide sufficient information for blind estimation of channel coefficients. Here, we introduce two spatial tools, the Primary and Secondary Clustering Algorithms capable of processing the information structures described above. Then, using these two tools, we present the Channel Estimation By Difference Set (CEDS) algorithm for the estimating channel impulse response coefficients. © 2005 IEEE.
Source Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/130475
ISBN: 0780388747
ISSN: 15206149
DOI: 10.1109/ICASSP.2005.1415823
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