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云环境下电子信息多径通信协同抗干扰方法

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由于云环境中存在各种各样的无线设备和通信网络,会产生大量的干扰源,对电子信息传输造成干扰并降低通信质量。为提高通信稳定性、保证环境中用户隐私数据安全,提出一种云环境电子信息多径通信协同抗干扰算法。处理云环境下电子信息多径通信的传输信号,离散分解原始信号并对其降噪处理,求解信号干扰的判定门限,利用威希特矩阵计算信号特征值范围,分析特征矩阵能量均值,通过判定门限描述信号采集矩阵的虚警概率,定位干扰项,根据设置全局条件奖励函数,确定损失评价函数,实现信号的抗干扰处理。经实验证明,所研究算法能很好地完成多径通信的协同抗干扰,具有可降低环境噪声、抗干扰性能强的优势,提取信号特征完整性达到 90%以上。
Collaborative Anti-Interference Method of Electronic Information Multi-Path Communication in Cloud Environment
Due to the existence of various wireless devices and communication networks in cloud environment,a large number of interference sources are generated subsequently,causing interference to electronic information trans-mission and reducing communication quality.In order to improve communication stability and ensure the security of privacy data,a collaborative anti-interference algorithm for multipath communication of electronic information in cloud environment was presented.At first,we processed the transmission signal of multipath communication in cloud envi-ronment.Then,we discretized the original signal and denoised it,thus solving the decision threshold for signal inter-ference.Moreover,we used Wishart distribution to calculate the range of signal eigenvalue and analyzed the energy mean of the feature matrix.Furthermore,we described the false alarm probability of the signal acquisition matrix by determining the threshold,thus locating the interference terms.According to global reward function,we determined the loss evaluation function.Finally,we achieved the anti-interference for signals.The experimental results prove that the algorithm can effectively achieve collaborative anti-interference in multipath communication and has the advantages of reducing environmental noise as well as strong anti-interference performance;The integrity of extracted signal features reaches over 90%.

Cloud environmentElectronic communicationMultipath communicationCollaborative anti-inter-ferenceFeature extraction

杨昆、刘宏月

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郑州科技学院信息工程学院,河南 郑州 450064

河南工业大学信息学院,河南 郑州 450001

云环境 电子通信 多径通信 协同抗干扰 特征提取

河南省科技厅科技攻关项目

232102210131

2024

计算机仿真
中国航天科工集团公司第十七研究所

计算机仿真

CSTPCD
影响因子:0.518
ISSN:1006-9348
年,卷(期):2024.41(6)