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作 者:侯艳丽[1] 郭鑫 周安敉 Hou Yanli;Guo Xin;Zhou Anmi(School of Information Science and Engineering,Hebei University of Science and Technology,Shijiazhuang 050026,Hebei,China)
机构地区:[1]河北科技大学信息科学与工程学院,河北石家庄050026
出 处:《计算机应用与软件》2023年第7期123-127,共5页Computer Applications and Software
基 金:河北省重点研发计划项目(20355901D)。
摘 要:为了提高低信噪比条件下通信测距复合系统的时延估计精度,在广义互相关算法的基础上,提出一种改进的广义互相关时延估计算法。该方法将互相关函数做指数运算,再进行广义加权处理,抑制了噪声对信号的干扰,把经过傅里叶逆变换得到的相关函数进行高次方运算,增大主峰和次峰的相对值,让峰值更加突出。仿真结果表明,该系统可以完成测距任务与通信任务,并且在低信噪比下具有更好的时延估计性能。In order to enhance the time delay estimation precision of communication ranging complex system under low SNR,an improved generalized cross correlation time delay estimation algorithm is proposed based on the generalized cross correlation algorithm.The method performed exponential operation of cross correlation function,and weighted in the frequency domain to suppress the noise disturbance to the signal.The correlation function obtained by Fourier inverse transformation was performed as a high power operation to increase the relative value of the main peak and the secondary peak,so that the peak value was more prominent.The simulation results indicate that the system can accomplish ranging and communication tasks,and has better time delay estimation performance at low SNR.
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术] TN911.7[自动化与计算机技术—计算机科学与技术]
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