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针对空间机动目标的相对导航问题展开讨论,提出了基于UKF的空间机动目标相对导航自适应滤波方法。文章从机动目标的检测和滤波器参数的调整两方面入手,首先使用统计学方法处理机动判据归一化新息加权平方和,以避免虚警并使目标检测更为有效,然后设计一套放大状态估计协方差矩阵的滤波器参数自调整策略,实现在检测到目标机动后滤波器能够快速收敛并持续稳定跟踪。仿真验证所设计的滤波器较传统的UKF能够更好地完成机动目标的相对导航任务。
Aiming at the relative navigation problem of maneuvering targets in space, the UKF-based relative navigation adaptive filtering method for space maneuvering targets is proposed. This paper starts from the detection of maneuvering targets and the adjustment of filter parameters. Firstly, the statistical method is used to process the normalized weighted sum of maneuvering criteria to avoid false alarms and make the target detection more effective. Then a set of The covariance matrix filter parameter self-adjusting strategy is enlarged by the state estimation co-variance matrix to realize that the filter can quickly converge and keep stable tracking after detecting the target maneuver. Compared with the traditional UKF, the filter designed by simulation verifies the relative navigation of maneuvering target.