摘要
对传统的波束域波束形成进行改进,提出一种改进的阵元域波束形成算法检测网络纠缠入侵信号。把传统的波束域旋转矢量的变换到阵元域中改善阵元域自适应算法的性能,利用纠缠入侵信号的特征值大于噪声的特征值这一性能,采用空间协方差矩阵逆的高阶次幂来逼近信号子空间,将求得权矢量投影于改进的阵元域的特征信号子空间。将求得权矢量投影于改进的阵元域的特征信号子空间,实现对网络纠缠入侵信号的检测。仿真实验表明,提出的改进的阵元域波束形成信号检测算法具有较好的自适应检测性能,计算量和信号检测稳健性有明显改善,在网络入侵检测中具有较好的工程实用价值。
A kind of entanglement intrusion signal element space beam improved algorithm to detect network formation is proposed. The performance of rotating vector traditional beam space transformation to the array element domain to improve the element domain adaptive algorithm, the entanglement characteristics of intrusion signal value greater than the value of noise this performance by using the high order power. Spatial covariance matrix inverse to approximate the signal subspace is used, and we obtain weight vector projection in element space improved feature signal subspace. The obtained weight vec-tor projection in element space is used to improve feature subspace, the entanglement of network intrusion detection. Simu-lation results show that, new method has nice performance in signal detection. The adaptive detection is better than tradi-tional methods, computation and signal detection and robustness are improved obviously, it can applied in network intru-sion detection with good practical engineering value.
出处
《科技通报》
北大核心
2014年第8期107-109,共3页
Bulletin of Science and Technology
基金
福建省教育厅项目(JB10207
JB10208)
关键词
阵元域
波束形成
信号检测
网络入侵
array element space beam forming signal detection network intrusion
