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作 者:齐永波 孙宏波 QI Yong-bo;SUN Hong-bo(Institute of Computer and Control Engineering,Yantai University,Yantai Shandong 264005,China)
机构地区:[1]烟台大学计算机与控制工程学院,山东烟台264005
出 处:《计算机仿真》2021年第10期213-216,332,共5页Computer Simulation
基 金:国家重点研发计划(973)(2017YFB1400105)。
摘 要:如果只凭借整数倍的采样间隔计算平稳信号,会存在时间延迟问题。为解决上述问题,提出无线分布式网络非平稳信号时延估计方法。由于网络中含有噪声信号、干扰信号和网络信号,针对三者建立时延估计模型,运用二次相关算法降低干扰信号对网络信号影响,保证在低信噪比环境下对时间延迟的有效计算。为了避免出现伪峰值,影响计算结果,将二次相关函数与希尔伯特变换算法相结合,使相关函数的偶对称性转换为奇对称性,并将对峰值的检测转换为过零检测,将误差控制在最低,完成对时延的估计。通过仿真结果表明,所提方法有着较优的计算效果,且在噪声环境和混响环境下,依然可以实现对非平稳信号时延的有效估计。This paper presents a distributed wireless network non-stationary signal delay estimation method for shortening the signal delay.According to the noise signal,interference signal and network signal,the time delay estimation model was established.In order to reduce the influence of interference signals on network signals,the quadratic correlation algorithm was applied to ensure the effective calculation of time delay in a low signal-to-noise ratio environment.The quadratic correlation function and Hilbert transform algorithm were combined to prevent the appearance of the pseudo peak.The even symmetry of the correlation function was converted to odd symmetry,and the peak detection is also transformed to zero-crossing detection.The error was controlled to a minor value to complete the estimation of time delay.The simulation results show that this method can effectively estimate the time delay of non-stationary signals in noise and reverberation environments,implying that it has an excellent calculation effect.
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