基于状态参数可观测度分析的舰机传递对准自适应滤波方法

Adaptive filtering algorithm based on observable degree analysis of state parameters in carrier-aircraft transfer alignment

针对舰机惯导传递对准过程中舰船机动受限、系统可观测性差等特点,提出了基于状态参数可观测度分析的自适应滤波方法。通过系统状态参数可观测性分析,量化各状态分量可观测程度,进而根据可观测度大小分组构造自适应调节因子,并采用滤波增益衰减法对观测度低的分量通道进行有效处理,以此来提高传递对准滤波算法的适应性和滤波估计精度。舰船模拟轨迹下仿真结果表明,基于状态参数可观测度分析的自适应滤波方法和常规方法相比,具有较高的精度和较快的收敛速度,对准精度由3?提高到2?,滤波估计收敛时间由15 min缩短至8 min。

In view of the characteristics of limited maneuver and poor observable degree in carrier-aircraft INS＇s transfer alignment, an adaptive filtering algorithm based on observable degree analysis of state parameters is proposed. The state parameters＇ observable degree is quantized, and the adaptive factors are constructed based on grouping mechanism. Filtering gain attenuation technique is used to process the variables channels with poor observable degree in order to improve the accuracy and stability of filtering estimation. Simulation results show that the adaptive filtering algorithm has higher precision and faster convergence speed compared to classic methods, which could improve alignment precision to 2＇ from 3＇ and shorten filtering time to 8 rain from 15 min.