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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 multi-sensor data fusion.In this paper, a simple and direct data registration method is proposed for the radar network system, which is called Least Squares Estimation (LSRM). Registration is data fusion The necessary steps to estimate and amend the systematic errors of the various ministries so that the data fusion can be effectively achieved can keep the consistency of the observations between the two radars that track the same target.This method assumes that the system error is constant and that the Least squares estimation technique to get the best estimation of radar measurement error.In order to explain concretely, this paper also uses real radar data and simulation data to simulate LSRM algorithm.