基于专家-模糊控制器的GPS信号稳定性检测

Expert-Fuzzy Controller Based Stability Detection for GPS Signals

为了使新一代的GPS接收机能够在复杂和多变的场景下保持对GPS信号的稳定跟踪,接收机的跟踪环路需要采取自适应的控制策略。针对传统接收机的控制算法缺乏自适应调整能力的现状,区别于已有的智能跟踪技术,提出采用专家-模糊控制器(EFC)的GPS信号稳定性检测技术,并作为接收机的核心控制器。如果系统判定信号强弱是稳定的,则可以利用自适应卡尔曼滤波算法提高接收机的定位精度;如果系统判定信号强弱是变化的,则需要及时调整接收机跟踪环路中的相关参数以确保接收机的稳定性。经实验证明,提出的GPS信号稳定性检测技术的跟踪环路在应对复杂和多变的场景时具有稳定的性能。

Tracking loops of new generation GPS receivers should use adaptive adjusting control strategy in order to keep robust tracking quality for GPS signals under complex and changeable environments. The control methods of traditional receivers are lack of self-adjusting ability. To overcome this drawback, different from existing intelligent tracking methods, in this paper, Expert-Fuzzy Controller （EFC） based stability detection method for GPS signals was proposed and used as the core controller of the receiver. If the system judgment result of the signal strength sta- bility is stable, adaptive Kalman filter methods can be used to increase positioning accuracy of the receiver. If the system judgment result of the signal strength stability is unstable, some parameters of the tracking loop should be ad- justed as soon as possible to keep the receiver working robustly. Simulation results show the tracking loop with pro- posed stability detection method for GPS signals has robust quality to face complex and changeable environments.