自适应线性滤波器及遗传算法在初始对准中的应用

Application of Adaptive Linear Filter and Genetic Algorithm in Initial Alignment

针对采用卡尔曼滤波器进行初始对准时,时间复杂度较高,且受不可观测状态影响较大的问题。提出了用自适应线性滤波器对惯性器件的输出进行滤波后再用遗传算法进行初始对准的方法,主要优点在于受系统不可观测状态影响小,且速度上的优势比较明显,增强了惯性制导系统的快速反应能力。

Considering that Kalman filtering in initial alignment often leads to high time complexity, and is also restricted by unobservable states, a new method of applying adaptive linear filter and genetic algorithm to initial alignment is put forward, in which the adaptive linear filter is applied to the output of inertial instrument. The main merits of this method is that unobservable states have little effect in the alignment, while the method greatly speeds up the process.