The precision airdrop navigation system requires a prerequisite to meet the navigation accuracy, and reduce costs as much as possible. But the low-cost integrated navigation system is influenced greatly by the external airdrop environment in the airdrop process, it will be difficult to describe the noise statistical properties and result in the conventional Kalman filter unstable. To solve this problem, an adaptive filtering algorithm which synthesized the covariance matching technique and simplified Sage-Husa filtering was proposed. Finally, simulation analysis is carried out in Matlab. The results demonstrate that the new algorithm can meet the requirements of precision airdrop navigation task, and has good navigation accuracy and stability.%精确空投导航系统要求在满足导航精度的前提条件下,尽可能的降低成本.而低成本的组合导航系统在空投过程中受外部空投环境的影响较大,给噪声统计特性的准确描述带来困难.这将导致常规卡尔曼滤波器滤波不稳定甚至发散.为了解决此问题,在对常用的Sage-Husa滤波算法进行了总结和分析的基础上,研究了一种将协方差匹配技术和简化的Sage-Husa滤波技术相结合的自适应滤波算法.最后将该滤波方法应用到精确空投组合导航系统中进行了仿真分析.仿真结果表明此算法能够满足精确空投导航任务的要求,并且具有很好的导航精度和可靠性.
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