一种基于主状态变量分离的降维仿真算法设计

针对异步信息融合算法中状态向量维数过多和推导出来的协方差维数过高而导致的计算量增大的问题，提出一种基于主状态变量分离的降维仿真算法，将组合导航系统中进行计算的状态变量进行分类，确定主变量和次变量，在保证系统精度要求的前提下减小系统的计算量，从而保证系统的实时性工作要求。仿真结果证明该算法在满足系统精度要求的前提下能够有效减少系统的计算量，满足系统的工程实时性要求。

The Reduction of Dimensions Simulation Algorithm Based on the Main State Separating

In order to solve the problem that the calculated quantity increases due to increasing of the state variables, a depressed dimension simulation algorithm based on the main state variables separating was put forward. First of all, classified the state variables calculated in the integrated navigation system. Secondly, confirmed the main variables and the secondary variables. Finally, decreased the workload of the whole navigation system equations on the premise that the system precision was guaranteed, the real-time working requirements of the system can be guaranteed. The simulation result showed that this algorithm can reduce the integrated navigation system’s workload when the precision requirements of the system can be satisfied and the algorithm can meet the engineering real-time working requirements of the system.