摘要
Global navigation satellite system could provide accurate positioning results in signal complete condition. However, the performance is severe when signal denied, especially for the single-mode Bei Dou receiver. This paper proposes a dual-satellite positioning algorithm to promote the positioning performance in the satellite signal gap. The new algorithm utilizes the previous positioning data stored in complete condition to simplify the positioning equations. As the clock bias persists for a short period, this proposed method could work out accurate positioning results by only two visible satellites, without the need of computing the clock bias. Also, the Kalman filtering algorithm is used to smooth the trajectories, and improve the positioning results. During the incomplete period, only two satellites for 30 seconds and three satellites for 60 seconds, the preliminary experiment result shows that, the presented method could provide almost the same positioning results as in complete condition.
Global navigation satellite system could provide accurate positioning results in signal complete condition. However, the performance is severe when signal denied, es- pecially for the single-mode BeiDou receiver. This paper proposes a dual-satellite position- ing algorithm to promote the positioning per- formance in the satellite signal gap. The new algorithm utilizes the previous positioning data stored in complete condition to simplify the positioning equations. As the clock bias persists for a short period, this proposed meth- od could work out accurate positioning results by only two visible satellites, without the need of computing the clock bias. Also, the Kalman filtering algorithm is used to smooth the tra- jectories, and improve the positioning results. During the incomplete period, only two sat- ellites for 30 seconds and three satellites for 60 seconds, the preliminary experiment result shows that, the presented method could pro- vide almost the same positioning results as in complete condition.
基金
partially supported by the National Natural Science Foundation of China under Grant No.61601296, 61601295, and 61671304
