Please use this identifier to cite or link to this item:
Title: Variable step-size based adaptive noise subspace estimation for blind channel estimation
Authors: Yang, L.
Attallah, S. 
Mathew, G. 
Issue Date: 2006
Source: Yang, L.,Attallah, S.,Mathew, G. (2006). Variable step-size based adaptive noise subspace estimation for blind channel estimation. 2006 Asia-Pacific Conference on Communications, APCC : -. ScholarBank@NUS Repository.
Abstract: The recently proposed HFRANS is a computationally efficient and numerically stable adaptive algorithm for noise subspace estimation. To improve the convergence and steady-state performances of HFRANS, this paper proposes a variable step-size strategy, while maintaining the overall computational complexity at O(NP). The proposed strategy is obtained by cleverly combining a gradient step-size adaptation approach with the optimum step-size, which are developed in this paper. Simulation results are provided to illustrate the performance advantages of the proposed strategy. We also study the application of HFRANS with variable step-size to blind channel estimation in MC-CDMA system. ©2006 IEEE.
Source Title: 2006 Asia-Pacific Conference on Communications, APCC
ISBN: 1424405734
DOI: 10.1109/APCC.2006.255956
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Dec 13, 2017

Page view(s)

checked on Dec 9, 2017

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.