Please use this identifier to cite or link to this item: https://doi.org/10.1109/APCC.2006.255956
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. https://doi.org/10.1109/APCC.2006.255956
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
URI: http://scholarbank.nus.edu.sg/handle/10635/72148
ISBN: 1424405734
DOI: 10.1109/APCC.2006.255956
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