大型远程通信系统中连续波信号时差估计算法研究  

Time-difference estimation algorithms for continuous wave signals in large-scale telecommunication systems

作　　者：王昆 Wang Kun(Shool of Electronic Engineering,Xizan Aeronautical University, Xi'an 710077, China)

机构地区：[1]西安航空学院电子工程学院

出　　处：《电子测量技术》2019年第16期143-147,共5页Electronic Measurement Technology

摘　　要：针对传统信号时差估计算法带宽适应性较低的问题,提出一种大型远程通信系统中连续波信号时差估计算法。利用小波分析理论对大型远程通信系统的连续波信号进行小波降噪,利用谱相关理论建立除去噪声后的连续波信号时差模型,利用连续波信号时差模型对两路时域信号时差进行离散傅里叶变换,估计两路时域信号的连续波信号时差,实现了大型远程通信系统中连续波信号时差的估计。为了验证该算法的有效性,将该算法与传统算法进行对比,得出大型远程通信系统中连续波信号时差估计算法带宽适应性约为0.75,通过比较可知,该算法的带宽适应性最高,且估计结果的准确率不低于81.2%,证明了算法的性能。In order to solve the problem of low bandwidth adaptability of trad让ional time difference estimation algorithm, a continuous wave signal time difference estimation algorithm in large-scale remote communication system is proposed. The theory of wavelet analysis is used to denoise the continuous wave signals in large-scale long-distance communication systems, and the theory of spectrum is used to establish the denoising algorithm after removing noise. The time difference model of continuous wave signal is used to estimate the time difference of two signals in time domain by discrete Fourier transform. The time difference of two signals in time domain is estimated, and the time difference of continuous wave signal in large-scale long-distance communication system is estimated. In order to verify the validity of the algorithm, this algorithm is compared with the traditional algorithm. It is concluded that the bandwidth adaptability of the signal time difference estimation algorithm for continuous wave signals in large-scale longdistance communication systems is about 0. 75. The comparison shows that the algorithm has the highest bandwidth adaptability and the accuracy of the estimated results is not less than 81.2%, which proves the performance of the algorithm.

关 键 词：大型远程通信系统 连续波 信号时差估计 

分 类 号：TN971[电子电信—信号与信息处理]