舰船电子工程2017，Vol.37Issue(2)：25-29,57,6.DOI:10.3969/j.issn.1672-9730.2017.02.007
一种具有鲁棒性的子空间盲信道估计算法
A Robust Subspace Method for Blind Identification
摘要
Abstract
Due to the performance degradation of deterministic blind channel identification algorithms under the overestimation of channel order, 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 FOCUSS algorithm, and 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.关键词
子空间算法/FOCUSS算法/增广拉格朗日函数/阶数鲁棒性Key words
subspace method/FOCUSS algorithm/augmented Lagrange function/robustness to order overestimation分类
信息技术与安全科学引用本文复制引用
刘洋..一种具有鲁棒性的子空间盲信道估计算法[J].舰船电子工程,2017,37(2):25-29,57,6.
