网络服务资源数据共享策略优化设计仿真

发布时间：2019-01-12 13:14

【摘要】：网络服务资源数据的共享策略优化设计,可以有效提高服务资源的可用性。对资源数据共享策略的设计,需要获得各个伪码周期内起始相位相同的网络载波信号,将网络信号功率谱累积平均,完成网络服务资源共享策略的优化设计。传统方法进行同步信号的本地相关,获取网络主同步信号索引,但忽略了将网络信号功率谱累积平均,导致共享数据策略设计效果不理想。提出基于快速傅里叶变换的网络服务资源数据共享策略设计方法。对取样的中频信号进行小波滤波预处理,根据网络中有用信号与噪声在小波变换时所具有的不同特性来提高信噪比,将网络输入信号进行频率补偿获得各个伪码周期内起始相位相同的网络载波信号,进行傅里叶变换,将网络信号功率谱累积平均,由此实现对等模式下网络服务资源数据共享策略设计。仿真证明,所提方法能够在保持一定数据共享策略性能的同时有效缩短数据共享策略设计时间。
[Abstract]:The optimization design of the sharing strategy of network service resource data can effectively improve the availability of service resources. For the design of resource data sharing strategy, it is necessary to obtain the network carrier signal with the same initial phase in each pseudo-code cycle, and to accumulate the power spectrum of the network signal to achieve the optimal design of the network service resource sharing strategy. The traditional method is used to obtain the local correlation of the synchronization signal and obtain the index of the main synchronous signal of the network, but the cumulative average of the power spectrum of the network signal is neglected, which leads to the unsatisfactory design effect of the shared data strategy. This paper presents a design method of data sharing strategy for network service resources based on fast Fourier transform (FFT). The sampled intermediate frequency signal is preprocessed by wavelet filtering. According to the different characteristics of useful signal and noise in the network in wavelet transform, the SNR can be improved. The network carrier signal with the same initial phase in each pseudo code cycle is obtained by frequency compensation of the network input signal, and the power spectrum of the network signal is accumulatively averaged by Fourier transform. Therefore, the design of network service resource data sharing strategy under peer-to-peer mode is realized. Simulation results show that the proposed method can effectively shorten the design time of the data sharing strategy while maintaining a certain performance of the data sharing strategy.
【作者单位】：海军航空工程学院控制工程系;
【分类号】：TP393.09

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