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作 者:张俊[1] 杨超[1] ZHANG Jun, YANG Chao(Department of Information Technology, Hubei University of Police, Hubei Wuhan 430034, China.)
机构地区:[1]湖北警官学院信息技术系,湖北武汉430034
出 处:《计算机仿真》2018年第10期406-409,共4页Computer Simulation
摘 要:对无线网络信息传输节点能量的检测,能够有效提高网络节点传输的精准度。对信息传输节点能量进行准确检测,需要计算无线网络中小数延迟滤波器能量系数,并对节点小数延迟进行实时校正,完成节点能量的准确检测。传统方法在机制混合动态系统的基础上,对信息传输节点的格式化规格进行描述,但忽略了节点小数延迟的校正,导致检测精度偏低。提出无线网络信息传输节点能量准确检测方法,对信息传输节点进行抽样,根据频率卷积的性质得到抽样脉冲序列的能量频谱,采用FARROW结构的校正算法对小数延迟滤波器的能量系数进行计算,并对节点小数延迟进行实时校正,提高节点能量检测的精准度,完成无线网络信息传输节点能量的检测。仿真结果表明,上述优化方法在提高节点传输能量检测准确度的同时,保证了节点传输的精准度。The traditional method often ignores the correction of node decimal delay, which results in low detection accuracy. In this article, we put forward a method for accurately detecting information transmission node energy in wireless network. Firstly, we sample the information transmission nodes. According to the nature of frequency convolution, we obtained the energy spectrum of sampling pulse sequence. Then, we used the correction algorithm with FARROW structure to calculate energy coefficients of fractional delay filter and corrected the decimal delay of node in real time to improve the accuracy of node energy detection. Finally, we completed the detection of information transmission node energy in wireless network. Simulation results show that the proposed method improves the accuracy of node transmission energy detection and ensures the precision of node transmission.
分 类 号:TP311.13[自动化与计算机技术—计算机软件与理论]
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