文献类型：期刊文献

中文题名：一种改进扩展卡尔曼算法的伪码跟踪优化仿真

英文题名：An Improved Extended Kalman Algorithm for Pseudo Code Tracking Optimization Simulation

作者：卢来[1];邓文[1]

机构：[1]广东海洋大学寸金学院实验教学中心

年份：2019

卷号：36

期号：7

起止页码：6

中文期刊名：计算机仿真

外文期刊名：Computer Simulation

收录：CSTPCD、、北大核心2017、北大核心

语种：中文

中文关键词：改进扩展;卡尔曼算法;伪码;跟踪优化

外文关键词：Modified extension;Kalman algorithm;Pseudo code;Tracking optimization

中文摘要：针对当前方法存在伪码跟踪结果不准确的问题,提出基于改进扩展卡尔曼算法的伪码跟踪优化方法。利用振幅、采样时间和码相位等条件计算输入信号,获取到伪码信号的初始位置,建立伪码跟踪环路模型。通过代价函数的计算来分析伪码的跟踪性能,获取状态的预测值和预测方差,并计算代价函数的极小值,利用高精度的迭代方法对方差和协方差展开计算,得到分解因式,计算伪码的容积点,完成对伪码的跟踪,并求得伪码环路模型的解,实现伪码的跟踪优化。实验结果表明,所提方法在对伪码跟踪优化时,具有较好的跟踪性能,并且伪码的相位误差较小,能够准确的完成对伪码的跟踪。

外文摘要：Tracking result of current pseudo code tracking method is inaccuracy. Therefore, this research proposes an optimization tracking method for pseudo code based on the modified extended-Kalman algorithm. Input signal was calculated via amplitude, sampling time, and code phase, and initial position of pseudo code signal was acquired. Tracking loop model of the pseudo code was built. Tracking performance was analyzed via calculating cost function. The predicted value and variance of status was acquired and minimum of the cost function was calculated. The variance and covariance were calculated via iterative method with high precision to obtain factorization. Volume point of the pseudo code was calculated. Thus, the tracking was completed and solution of the tracking loop model was solved. The optimization of tracking was achieved. Simulation results show that the method has better tracking performance and lower phase error of the pseudo code. It can track the pseudo code accurately.