最小平方法实现多部雷达数据配准

Least Square Registration of Multiradar Data

数据配准是多传感器数据融合中的基本问题.本文针对雷达组网系统,提出一种简单、直接的数据配准方法,称为最小平方估计配准法(LSRM).配准是数据融合的必要步骤,籍以估计和修正各部雷达的系统误差,从而使数据融合得以有效实现.本方法可使跟踪同一批目标的两部雷达保持观测结果的一致性.本方法假设系统误差为常数,利用最小平方估计技术求出雷达测量误差的最佳估值.为了具体说明,本文还采用真实雷达数据及模拟数据对LSRM算法进行了仿真.

Data registration is a basic problem in the date fusion of multisensor. In this paper,a simple and direct data registration method- colled least squares registration method (LSRM),is presented for network radar system. The registration is necessary procedure of data fusion ,used to estimate and revise the system error of radars, thereby data ,fusion may be practised effectivly. The LSRM can keep the observation result uniformity of two radar tracking same target. This method assume that radar system error is a contan using the least square technique calculate the best estimation of radsr error. For actual indication,we hav simulated for LSRM using both the real network radar data and computer simulation data.