%0 Journal Article
%T Recursive least-squares algorithm for blind separation of nonstationary signals<br>非平稳信号的递推最小二乘盲分离
%A XU Hong-tao
%A WANG Yue-gang
%A CHEN Xia
%A <br>徐洪涛
%A 王跃钢
%A 陈霞
%J 控制理论与应用
%D 2011
%I 
%X For the blind separation of nonstationary signals, we propose a new method which is based on the recursive least-squares(RLS) algorithm. A forgetting factor is introduced to modify the normal cost-function by incorporating the exponential weighting-factors to obtain a new cost-function with a recursive structure. This new cost-function is minimized by using RLS algorithm. An adaptive updating algorithm is derived for the optimal separation matrix which is for gradually separating the signals. This algorithm alleviates the difficulty in selecting the learning speed in the least-mean-squares algorithms, and possesses excellent performances in convergence and stability. Simulations are carried out to verify the validity of the new algorithm.
%K blind source separation
%K nonstationary signal
%K recursive least-squares
%K forgetting factor<br>盲分离
%K 非平稳信号
%K 递推最小二乘
%K 遗忘因子
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=EBF7289B0EEBDC9E8ECC6824BDA4E752&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=94C357A881DFC066&sid=B60458D1AE87BCD1&eid=3EE58D91F4253193&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=14