提取混沌中微弱信号的正交局部投影方法  

Orthognal local projective method for weak signal extraction in chaos

作　　者：何丽桥[1] 王国光[2] 王丹[2] 

机构地区：[1]吉林大学物理学院,长春130012 [2]吉林大学通信工程学院,长春130022

出　　处：《吉林大学学报（工学版）》2008年第4期950-954,共5页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金项目(60172032)

摘　　要：改进了降低混沌中噪声的局部投影方法,建立了正交局部投影算法,根据混沌的确定性特征,提出了预测性邻点选取方法和参数选择法则。这种方法成功地应用于提取Henon混沌中的微弱信号,在信噪比不低于-80 dB的条件下,能够准确提取信号信息。数值实验表明,该方法具有高度的稳定性和可靠性,是提取混沌中微弱信号的有效方法。An orthogonal local projective algorithm was derived by improving local projective method on noise reduction in chaotic time series. According to the deterministic character of chaos, a predictive approach of neighborhood selection was presented and rules of parameter selection was proposed, which can extract weak signal in Henon c method has higher stability and reliability haos at SNR=-80 dB. Simulation results verified that the and is effective in weak signal extraction in chaos.

关 键 词：信息处理技术 信号提取 正交局部投影 混沌 

分 类 号：TN918[电子电信—通信与信息系统]