直角坐标系中雷达测量方差的两种计算方法

文章提出了依据雷达极坐标测量标准差和采用雷达极坐标测量数据估计直角坐标系中雷达测量方差以及目标位置误差的2种计算方法，分别为依据目标在统一直角坐标系中各坐标分量上的标准差得到目标位置间接测量偏差的标准差法和基于直线航迹线参数估计的统计学方法。结合相关滤波方法进行试验验证表明，这2种方法应用于多雷达加权航迹融合模型中的雷达测量权值动态分配过程中，均取得良好效果，对于卡尔曼滤波器等传统滤波器和多雷达航迹关联算法也具有较高的推广和应用价值。

Two methods for calculating the variance of radar measurements in the Cartesian coordinate

This paper presents two methods for calculating the variance of the radar measurements and the target position error in the Cartesian coordinate, based on the standard deviation of the measurement data in the radar polar coordinates. They are referred to as the standard deviation method of transferring the standard deviation of each coordinate component of the target in the uniform rectangular coordinate system to the indirect measurement deviation of the target position, and the statistical method based on the estimation of the straight track line parameters, respectively. The experimental verification combined with some correlation filtering approach shows that the two methods can be successfully applied to obtain the dynamic weight distributions for radar measurement in the multi-radar weighted track fusion model with desirable results, and also have a high engineering value for improving the traditional filters such as the Kalman filter and the multi-radar track correlation algorithm.