采用分布估计算法,通过建立解空间的概率模型,实现了一种测角资料的极短弧初轨计算方法.在概率模型建立中,采用非参数核密度估计,无需对分布进行任何假设.不同于遗传算法、粒子群算法等进化算法,方法不仅考虑解的适值优劣,同时考虑了解的整体特性.根据基于实测数据的数值计算表明:方法在没有任何约束条件情况下对于一般观测精度仍可获得有效解. By using the distribution estimation algorithm, a very short arc initial trajectory calculation method of angle measurement data is established by establishing the probabilistic model of the solution space. In the establishment of probability model, the nonparametric kernel density estimation is adopted without any assumption of distribution. Based on genetic algorithms, particle swarm optimization and other evolutionary algorithms, the method considers not only the fitness of the solution, but also the overall characteristics of the solution.According to the numerical calculation based on the measured data, it shows that the method can be used for general observation without any constraint Obtain a valid solution.