摘要
为了提升载波跟踪环路滤除噪声干扰的能力,引入一种作为可靠最优估计方法的卡尔曼滤波估计算法,用于解决高动态或弱信号环境载波跟踪环路难以稳定工作的问题。首先分析噪声对跟踪环路产生的影响,讨论采用卡尔曼滤波估计算法的理论设计依据,并且从环路结构、模型建立和优化设计三方面着手设计了自适应卡尔曼滤波跟踪环路。试验结果表明,无论在静态还是动态场景,其定位性能和精度与传统跟踪环路相比,均有较大幅度提升。
In order to improve the ability of the tracking loop to filter out noise , a Kalman filter estimation algorithm is proposed to track the signal in high dynamic or weak signal environment steadily. Firstly, the influence of noise on the tracking loop is analyzed. The theoretical design basis of the Kalman filter estimation algorithm is discussed, and the adaptive Kalman filter tracking loop is designed from the aspects of loop structure, model establishment and optimization design. The experimental results show that the positioning performance and accuracy are improved greatly compared with the traditional tracking loop in both static and dynamic scenes.
作者
沈飞
李荣冰
刘建业
韩志凤
周颖
Shen Fei Li Rongbing Liu Jianye Han Zhifeng Zhou Ying(Navigation Research Center, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)
出处
《电子测量技术》
2017年第9期88-94,共7页
Electronic Measurement Technology
基金
国家自然基金(61273057)资助项目
