针对目前GPS(全球定位系统)软件接收机中常用的跟踪环路难以跟踪弱信号的缺点,结合卡尔曼滤波技术,提出了一种基于扩展卡尔曼滤波的GPS弱信号跟踪算法.该算法通过改进传统卡尔曼滤波的观测方程,提高了信号估计精度.仿真结果表明,在载噪比低至23 dB· Hz的GPS信号跟踪条件下,传统跟踪环路已无法跟踪信号,但该改进的跟踪方法仍能跟踪.总体来说,该改进算法可用于GPS弱信号的跟踪,也可以用于其他GNSS(全球卫星导航系统).
In order to overcome the shortcoming that it is difficult that the commonly used tracking loop tracks the weak signal in the existing Global Positioning System (GPS) software receiver, a GPS weak signal tracking algorithm based on the extended Kalman filter is proposed by combining with Kalman filtering techniques. The proposed algorithm improves the signal estimation accuracy by improving the observation equation of the traditional Kalman filter. The simulation result shows that the improved tracking method can track the GPS signal while the traditional tracking loop has been unable to track the signal under the tracking circumstance of the carrier to noise ratio as low as 23dB · Hz. As a result, the improved algorithm can be used to track GPS weak signal as well as for other Global Navigation Satellite Systems.