蚁群算法在辅助导航重力匹配中的应用

重力匹配算法是实现重力辅助惯性导航系统的关键技术之一。针对传统重力匹配方法由于复杂度高、应用范围小等缺陷而导致很难实现精确、快速匹配的问题，将改进的蚁群优化算法应用于重力匹配的搜索过程，并将多普勒测速仪提供的速度信息作为限制条件对蚁群搜索过程进行约束，异常精度一定的条件下，可降低误配率。仿真结果表明，该匹配算法在重力特征显著的区域具有较高的匹配率，收敛性更好，可以达到更加精确的匹配定位，从而实现重力辅助导航。

The Application of Ant Colony Algorithm in Gravity Matching of Aid Navigation

The algorithm of Gravity matching is one of the key technologies in realizing the gravity aided the inertial navigation. However, the defects of the traditional gravity matching method being high in complexity and narrow in application scope, it is difficult to achieve accurate and fast matching effect. Under the certain condition of abnormal accuracy, the use of the improved ant colony optimization algorithm in the process of gravity matching can reduce the mismatch rate in putting the velocity information provided by Doppler speedometer as constraints. The results of simulation show that the algorithm is high in matching rate, and can achieve precise and fast matching location, realizing the gravity aided navigation.