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介绍了复杂低空环境下的机会信号导航方法,并提出了一种机会信号选择方法,解决了机会导航信号源类型多、数量多难以选择的问题.由于信号源的几何精度因子(GDOP,Geometry Dilution of Precision)越小则定位精度越高,同一区域信号对GDOP影响相似,因此采用聚类的方法选择信号.首先,将各信号间的距离作为相似度测量参数,通过相似性传播聚类算法获得相似类组;然后,依据类组的中心点确定所选类组;最后,从中选择组内的机会信号.经仿真,分析了不同分布的机会信号聚类特点,通过对汶川震区机会信号选择的仿真,验证了相似性传播聚类算法的有效性.另外,该方法在复杂低空飞行应用中将大大提高信号选择的效率.
This paper introduces the opportunity signal navigation method in complex low-altitude environment and proposes a selection method of opportunity signals to solve the problem that there are many types of opportunistic navigation signal sources and the number of which is difficult to choose.As the Geometry Dilution of Precision, the higher the positioning accuracy is, the more the signals in the same area have similar effects on the GDOP, so the signal is selected by clustering method.Firstly, the distance between each signal is taken as the measure of similarity and obtained by similarity propagation clustering algorithm Then select the group of signals according to the center point of the class group.Finally, select the opportunity signals in the group.After simulation, we analyze the characteristics of the opportunity signals in different distributions, The simulation results show the effectiveness of the similarity-based propagation clustering algorithm.In addition, this method will greatly improve the efficiency of signal selection in complex low-altitude flight applications.