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分析了选星数目与几何精度因子(GDOP,Geometry Dilution of Precision)及导航运算量的关系,基于遗传算法提出了一种以满足用户定位精度需求为条件的快速选星方法——快速遗传选星法.根据用户需求确定选星数目初值、选星数目最大值和GDOP阈值,构造选星方案的初始种群,在进化代数上限为1的条件下对种群进行选择、交叉和变异运算,获得初始选星解,根据初始解的GDOP与阈值的关系确定是否依据GDOP最小原则对初始解进行优化,直至满足算法终止条件,输出选星解.仿真结果表明,该算法可以在一次进化之内以不低于92.45%的概率满足GDOP阈值在2.5~6的要求,同时可有效降低54.75%以上的导航运算量.
The relationship between the number of selected stars and Geometry Dilution of Precision (GOP) and the amount of navigation computation are analyzed. Based on the genetic algorithm, a fast method of satellite selection based on the needs of user positioning accuracy is proposed According to user needs to determine the initial selection of the number of stars, the maximum number of selected stars and GDOP threshold to construct the initial population selection program, the evolutionary algebra in the upper limit of 1 under the conditions of selection, crossover and mutation of the population to obtain the initial According to the relationship between GDOP and threshold, the initial solution is optimized according to the minimum principle of GDOP until the termination condition of the algorithm is satisfied, and the star selection solution is output. Simulation results show that the algorithm can be used within one evolution The probability of less than 92.45% meets the requirement of GDOP threshold of 2.5-6, and can effectively reduce the navigational computation amount of 54.75% or more.