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作 者:贾凤玲[1] JIA Feng-ling(Guizhou University of Finance and Econ0mics,Guiyang Guizhou 550025,China)
机构地区:[1]贵州财经大学,贵州贵阳550025
出 处:《计算机仿真》2020年第12期122-126,共5页Computer Simulation
摘 要:物联网通信数据在多信道中传输时,通信频段可能受到其他数据的干扰,导致通信质量大幅度降低,因此提出多信道传输下物联网通信数据抗干扰算法研究。基于物联网通信数据传输平台,采用随机变量得到威希特矩阵的定义中心与定标常数,根据一阶Tracy-Widom分布的累计分布函数与第二类Painleve非线性微分方程的解,得出威希特矩阵特征值的极值约束条件,通过有限次的抽样数列,架构采集接收数据的协方差矩阵,从而分别得到数据分量与噪声分量采集的协方差矩阵,得出其极值约束条件,利用采集能量数列均值与定向信道采集时生成的能量均值,推导出其对应的分布特性,基于虚警概率辨别通信数据类型,完成通信数据抗干扰算法的设计。仿真结果表明,所提算法具有比较理想的干扰抑制性能和显著的稳定性。When the IoT communication data is transmitted in multiple channels,the communication frequency band may be interfered by data,leading to low communication quality.Therefore,an anti-jamming algorithm for IoT communication data in multi-channel transmission was proposed.Based on the transmission platform of IoT communication data,random variables were adopted to obtain the definition center and scaled constants of Wishart matrix.According to the cumulative distribution function of the first-order Tracy-Widom distribution and the solu-tion of Class II Painleve nonlinear differential equation,the extreme constraints of eigenvalues of Wishart matrix were obtained.Through a limited number of sampling sequences,the covariance matrix of collecting the received data was constructed,so that the covariance matrices of data component and noise component could be obtained.After that,the extreme constraints were obtained.Moreover,the mean value of energy series and the mean value of the energy generated by the collection of directional channels were used to derive corresponding distribution characteristics.Fi-nally,the type of communication data was judged by the false alarm probability,and then the design of the anti-jamming algorithm for the communication data was completed.Simulation results show that the proposed algorithm has better performance of interference suppression and more remarkable stability.
关 键 词:多信道传输 物联网 通信数据 抗干扰 协方差矩阵
分 类 号:TN919[电子电信—通信与信息系统]
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