电光与控制, 2019, 26 (9): 42, 网络出版: 2020-12-20  

利用支持向量机的卫星导航载波跟踪算法

A GNSS Carrier Tracking Algorithm Utilizing Support Vector Machine
作者单位
1 中国船舶集团公司第七二三研究所, 江苏 扬州 225101
2 南京理工大学, 南京 210094
摘要
常用的卫星导航接收机载波跟踪环路在高动态环境下易失锁, 导致接收机无法提供精确的导航信息。针对此问题, 提出一种利用支持向量机的锁频环辅助锁相环的新的载波跟踪算法。首先, 引入一种判决因子描述环路当前的运行情况, 然后,根据输入的判决因子的大小实时调节载波跟踪环路中锁相环和锁频环对环路更新参数计算的贡献大小, 利用支持向量机算法建立起判决因子和环路融合权值之间的非线性关系。仿真结果表明, 该方法能极大地减小锁相环在高动态环境下的鉴相误差, 一定程度上提高载波跟踪环路在高动态环境下的跟踪性能。
Abstract
For the conventional GNSS receiver, the carrier tracking loop is prone to lose lock in high dynamic environment. Under this condition, the receiver cannot work properly and provide accurate navigation information. To improve the performance of the carrier tracking loop under high dynamic circumstance, this paper proposes a new carrier tracking algorithm combining Phase-Lock-Loop (PLL) with Frequency-Lock-Loop (FLL) based on the support vector machine. A judge factor is introduced to define the state of the carrier tracking loop. The weights of the PLL and FLL are adjusted in real time according to the value of the judge factor. The support vector machine algorithm is employed to establish the nonlinear function of the judge factor and fusion weights of the loops. The simulation results show that this method can greatly improve the performance of the tracking loop in high dynamic environment.

季凯源, 张博雅, 蒋长辉. 利用支持向量机的卫星导航载波跟踪算法[J]. 电光与控制, 2019, 26(9): 42. JI Kaiyuan, ZAHNG Boya, JIANG Changhui. A GNSS Carrier Tracking Algorithm Utilizing Support Vector Machine[J]. Electronics Optics & Control, 2019, 26(9): 42.

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