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BDS / GPS fast satellite selection algorithm

机译:BDS / GPS快速卫星选择算法

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In order to realize the rapid satellite selection of BDS / GPS dual-mode navigation system under the premise of satisfying the normal positioning accuracy, a new fast satellite selection algorithm is proposed. The algorithm combines the traditional satellite selection algorithm with genetic algorithm. The satellite area is divided by the elevation angles information of the visible satellite, according to the characteristics of satellite distribution, then the optimal geometric distribution of satellites are selected. And the simplified GDOP calculation model is used as the fitness function to judge the merits and demerits of the individual in the genetic algorithm, so as to obtain the optimal solution of the smaller GDOP value and achieve the goal of fast satellite selection. Finally, the algorithm is compared with the optimal GDOP algorithm, and the experimental results show that the fast satellite selection algorithm guarantees real-time, which is better than the optimal GDOP algorithm, and the standard deviation in the two-dimensional coordinate system of longitude and latitude is 1.90m.
机译:为了在满足正常定位精度的前提下实现BDS / GPS双模导航系统的快速选星,提出了一种新的快速选星算法。该算法将传统的卫星选择算法与遗传算法相结合。将卫星面积除以可见卫星的仰角信息,根据卫星分布的特点,选择最佳的卫星几何分布。利用简化的GDOP计算模型作为适应度函数,在遗传算法中判断个体优劣,从而获得较小的GDOP值的最优解,达到快速选卫星的目的。最后,将该算法与最优GDOP算法进行了比较,实验结果表明,快速卫星选择算法保证了实时性,优于最优GDOP算法,并且在经度二维坐标系中具有标准差。纬度为1.90m

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