一种新的雷达组网实时误差配准算法

Novel Real-Time Registration Algorithm for Radar Networking

雷达组网系统首先要解决误差配准问题,来准确地估计和消除系统误差。本文研究了异地雷达组网误差配准问题,在考虑随机量测噪声影响的基础上,提出了一种实时Kalman滤波(RTKF)误差配准算法,然后针对多条配准航迹,给出了该算法的扩展形式,即ERTKF误差配准算法,并对两种算法进行了性能分析。仿真表明两种算法能有效地对雷达系统误差进行估计,尤其是当系统偏差发生变化时,配准效果明显优于实时质量控制(RTQC)配准算法。

Registration problem is a prerequisite process for radar networking system to estimate and correct systematic errors accurately. A new real time Kalman filter (RTKF) is used for the registration problem of radar networking with regarding the effect of random measurement noise. The extended RTKF (ERTKF) is also presented for multiple registration tracks, and then the performances of the two algorithms are discussed. Simulation results show that the proposed algorithms are effective and are superior that of the real time quality control (RTQC) algorithm for the varied system errors.