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陆基导航是一种通过高精度的测距进行定位、定速的系统,其定位、定速精度与布站有密切关系。为优化陆基导航的布站结果,提高惯性+陆基复合导航精度,提出了一种基于遗传算法的陆基导航布站方法。推导了使用惯性+陆基复合导航的Cramer-Rao下界(CRLB),并以其作为遗传算法布站寻优的适应性函数,再结合其他影响布站的因素作为约束条件,形成了基于遗传算法的布站方法。数学仿真表明,通过该方法的布站可得到较为满意的复合导航的精度,在实际工程应用中具有重要意义。
Land-based navigation is a system that locates and decides speed through high-precision distance measurement. Its positioning and speed accuracy are closely related to the distribution of stations. In order to optimize the distribution results of ground-based navigation and improve the accuracy of inertial + ground-based composite navigation, a ground-based navigation method based on genetic algorithm is proposed. The Cramer-Rao lower bound (CRLB) derived by inertial + land-based composite navigation is derived and used as genetic algorithm to optimize the distribution of stations. Based on the genetic algorithm Cloth station method. The mathematical simulation shows that the accuracy of composite navigation can be obtained by this method and has great significance in practical engineering application.