衰减记忆自适应滤波在惯导系统传递对准中的应用

针对滤波稳定性问题，提出了一种改进的衰减记忆自适应滤波算法。通过引入衰减记忆滤波矩阵，根据残差序列输出的互不相关性，在线自适应地调整衰减因子，从而使衰减记忆滤波工作在最佳状态。将该算法应用于惯导系统的传递对准过程，仿真结果表明在模型和噪声统计特性的先验信息不准确时，该算法优于传统的卡尔曼滤波。

Application of adaptive fading filter technique in transfer alignment of inertial navigation systems

A new adaptive estimation method of Kalman filter fading factor is presented from the stability of Kalman filter. The fading filter matrix is introduced, and the fading factor is adjusted adaptively on line based on the uncorrelated character of residual, so the fading filter works in the optimal state. The adaptive fading filter is applied in transfer alignment of inertial navigation systems (INS), the result shows the proposed algorithm is better than other algorithm when the prior data of model and noise character is unaccurate.