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 | Citation: | 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 |
Appears in Collections: | Staff Publications |
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.