太赫兹科学与电子信息学报2016，Vol.14Issue(5)：681-687,700,8.DOI:10.11805/TKYDA201605.0681
多项式预测GNSS信号矢量跟踪算法
Polynomial prediction GNSS vector tracking algorithm
摘要
Abstract
A polynomial prediction Global Navigation Satellite System(GNSS) vector tracking algorithm is proposed, which is independent of the prior information of the receiver’s kinematic parameters. It is different from traditional Kalman filter which requires a proper dynamic model and adjusting its state noise according to the target’s kinematic status. The adaptive measurement noise estimation is also applied to guarantee a more robust tracking process. Numerical simulations validate that the algorithm proposed is able to track the target’s status accurately, and performs well in situations with different accelerations. It can also keep tracking when there occurs abrupt change in acceleration, thus avoiding the problems caused by traditional Kalman models which require proper parameter selections.关键词
矢量跟踪/多项式预测模型/矢量延迟/频率锁定环路/观测噪声估计Key words
vector tracking/polynomial prediction model/Vector Delay/Frequency Lock Loop (VDFLL)/observed noise estimation分类
信息技术与安全科学引用本文复制引用
姚舜扬,尹建君,张建秋..多项式预测GNSS信号矢量跟踪算法[J].太赫兹科学与电子信息学报,2016,14(5):681-687,700,8.基金项目
国家自然科学基金资助项目(61571131) （61571131）
