首页> 外国专利> Position estimator for global navigation satellite system receiver in e.g. military applications, has Bayes filter for which two state transition models are predetermined, where one model describes development of position of receiver

Position estimator for global navigation satellite system receiver in e.g. military applications, has Bayes filter for which two state transition models are predetermined, where one model describes development of position of receiver

机译:全球导航卫星系统接收机的位置估计器,例如军事应用中,具有贝叶斯滤波器,为此预先确定了两个状态转换模型,其中一个模型描述了接收器位置的发展

摘要

The estimator (113) has a Bayes filter for which two state transition models and two measuring models are predetermined. The filter uses one of the state transition models and one of the measuring models during presence of a movement state, and uses the other state transition model and the other measuring model during the presence of another movement state. The latter state transition model describes development of a position of a global navigation satellite system receiver (100), a time offset of a clock of the receiver and errors. The Bayes filter is designed as a Kalman filter, an extended Kalman filter or a particulate filter. An independent claim is also included for a method for position estimation for a global navigation satellite system receiver.
机译:估计器(113)具有贝叶斯滤波器,针对该贝叶斯滤波器预定了两个状态转移模型和两个测量模型。过滤器在存在运动状态时使用状态转换模型之一和测量模型之一,在存在另一运动状态时使用另一状态转换模型和另一测量模型。后一种状态转换模型描述了全球导航卫星系统接收器(100)的位置,接收器的时钟的时间偏移和误差。贝叶斯滤波器设计为卡尔曼滤波器,扩展卡尔曼滤波器或微粒滤波器。还包括针对全球导航卫星系统接收机的位置估计方法的独立权利要求。

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