摘要
提出一种基于多属性集成模型的水下通信网络中纠结入侵信号检测方法.根据最小二乘法相关理论,对水下通信网络中的纠结信号特征进行提取,运用约束条件,根据噪声与入侵信号特征比率不同这一特点进行特征分割,实现水下通信网络中纠结信号的入侵检测.实验结果表明,该方法可以有效地对水下通信网络中纠结入侵信号检测,有效提高水下网络中入侵检测的准确性.
Put forward a model based on multiple attribute integration with invasion of signal detection method in underwater communication network. Related theory, based on least- square method to tangle in underwater communication network signal characteristic extraction, using the constraint conditions, according to the different characteristics with the invasion of signal noise ratio of the characteristic feature segmentation, tangled signal in underwater communication network intrusion detection. The experimental results show that the method can be effective in underwater communication network with invasion of signal detection, effectively improve the accuracy of the underwater in the network intrusion detection.
出处
《微电子学与计算机》
CSCD
北大核心
2014年第4期92-95,99,共5页
Microelectronics & Computer
基金
云南省教育厅基金(2011C136)
关键词
水下网络通信
入侵信号
最小二乘法
Underwater network communication
The invasion of signal
The least square method
