一种基于Kalman滤波的实时校准算法

雷达组网融合多雷达的观测数据,可监视大范围的空中态势。但是首先要解决各雷达的系统偏差校准问题,雷达组网才能发挥效能。传统的雷达组网校准技术多基于固定雷达站给出,没有考虑姿态角及其偏差对校准的影响,因此不适合机动雷达偏差校准。该文针对这一问题进行了研究,通过泰勒级数展开推导了系统偏差和量测之间近似的线性关系,在此基础上提出了一种基于Kalman滤波的实时机动雷达系统偏差校准算法。仿真表明,本文提出的算法能有效地对机载雷达的系统偏差和姿态角偏差进行实时估计。

A Real-Time Alignment Algorithm Based on Kalman filter

The radar networking can fuse observational datum of radars. But alignment problem is a prerequisite process for data fusion of the radar networking. Classical registration algorithms were always proposed for fixed radars, which can not solve the alignment problem of the mobile radars because of ignoring attitude and attitude errors. This problem is studied in this paper. Using Taylor series, the linear model between the measurements and the errors are derived , then a new real-time alignment algorithm for mobile radars is proposed based on Kalman filter. Finally, the effectiveness of this algorithm is conformed by simulation.