A FOCUSS-BASED SUBSPACE METHOD FOR BLIND IDENTIFICATION ROBUST TO ORDER OVERESTIMATION
Authors
Wuqiang Zhou, JingWei Li
Corresponding Author
Wuqiang Zhou
Available Online January 2017.
- DOI
- 10.2991/icmmita-16.2016.271How to use a DOI?
- Keywords
- Subspace method; FOCUSS algorithm; Augmented Lagrange function; Robustness to order overestimation
- Abstract
A FOCUSS-based subspace method is proposed for blind channel identification, which is robust to channel order overestimation. Based on the sparsity of the desirable channel estimation to order overestimation, a weighted constraint is used to search the sparse solution, combining with the lp norm FOCUSS algorithm, then augmented Lagrange function is applied to improve the robustness of the FOCUSS algorithm. The simulation results show proposed algorithm owns better robustness to order overestimation than existing algorithms.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Wuqiang Zhou AU - JingWei Li PY - 2017/01 DA - 2017/01 TI - A FOCUSS-BASED SUBSPACE METHOD FOR BLIND IDENTIFICATION ROBUST TO ORDER OVERESTIMATION BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SP - 1168 EP - 1174 SN - 2352-538X UR - https://doi.org/10.2991/icmmita-16.2016.271 DO - 10.2991/icmmita-16.2016.271 ID - Zhou2017/01 ER -